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Description & Requirements
The AI Engineer will design, develop, and implement machine learning solutions, support AI initiatives for our IRS client, and contribute to innovative projects.
Position is fully remote.
Candidates in the Washington DC area are preferred in case there is a need to attend onsite client meetings.
The selected candidate must be able to obtain and wait for the completion of an interim Minimum Background Investigation (MBI) clearance prior to starting employment.
This process may take approximately 3-4 months.
Essential Duties and Responsibilities:
- Lead, develop, collaborate, and advance the applied and responsible use of AI, ML, mathematical, and data science solutions throughout the enterprise by finding the right fit of tools, technologies, methodologies, processes, and automation to enable effective and efficient solutions for each unique situation.
Lead the use of applied mathematical analyses to provide solutions.
- Lead efforts across the enterprise to support the creation of solutions and real mission outcomes, emphasizing and teaching the ability to flex and demonstrate initiative when dealing with ambiguous and fast-paced situations.
- Act as technical translator and role model for effectively articulating and translating technical needs, solutions, outputs, and impacts to all levels, regardless of technical proficiency, in a respectful, collaborative, and situationally appropriate manner.
- Maintain deep, current knowledge of the AI technology landscape and emerging developments, evaluating their applicability for use in production/operational environments.
- Lead the creation, curation, and promotion of playbooks, best practices, lessons learned, and firm intellectual capital.
Job-Specific Essential Duties and Responsibilities:
- Design, develop, and deploy (AI) Machine Learning, Deep Learning models that support business objectives and enhance product functionality.
- Demonstrated knowledge in designing, building, testing, and deploying machine models.
- Collaborate with software engineers and data scientists to integrate trained models into production environments and ensure scalable performance.
- Proficient in using Python, have good working knowledge of R, and other programming languages to develop data pipelines, preprocessing routines to clean up data, and model automation workflows as needed.
- Apply knowledge of data structures, algorithms, and statistics to ensure model accuracy, efficiency, and reliability.
- Work with large language models (LLMs) such as ChatGPT, Gemini, or Meta LLMs, including OpenAI API integration and prompt optimization.
- Preferably to have worked with LangChain family of products, MCP, and other integration technologies with databases and other knowledge artifacts
- Implement and maintain MLOps practices for continuous training, deployment, and monitoring of AI models.
- Evaluate and adopt emerging AI tools, frameworks, and methodologies to
improve system per...
....Read more...
Type: Permanent Location: Rock Springs, US-WY
Salary / Rate: Not Specified
Posted: 2025-11-11 07:31:21
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Description & Requirements
The AI Engineer will design, develop, and implement machine learning solutions, support AI initiatives for our IRS client, and contribute to innovative projects.
Position is fully remote.
Candidates in the Washington DC area are preferred in case there is a need to attend onsite client meetings.
The selected candidate must be able to obtain and wait for the completion of an interim Minimum Background Investigation (MBI) clearance prior to starting employment.
This process may take approximately 3-4 months.
Essential Duties and Responsibilities:
- Lead, develop, collaborate, and advance the applied and responsible use of AI, ML, mathematical, and data science solutions throughout the enterprise by finding the right fit of tools, technologies, methodologies, processes, and automation to enable effective and efficient solutions for each unique situation.
Lead the use of applied mathematical analyses to provide solutions.
- Lead efforts across the enterprise to support the creation of solutions and real mission outcomes, emphasizing and teaching the ability to flex and demonstrate initiative when dealing with ambiguous and fast-paced situations.
- Act as technical translator and role model for effectively articulating and translating technical needs, solutions, outputs, and impacts to all levels, regardless of technical proficiency, in a respectful, collaborative, and situationally appropriate manner.
- Maintain deep, current knowledge of the AI technology landscape and emerging developments, evaluating their applicability for use in production/operational environments.
- Lead the creation, curation, and promotion of playbooks, best practices, lessons learned, and firm intellectual capital.
Job-Specific Essential Duties and Responsibilities:
- Design, develop, and deploy (AI) Machine Learning, Deep Learning models that support business objectives and enhance product functionality.
- Demonstrated knowledge in designing, building, testing, and deploying machine models.
- Collaborate with software engineers and data scientists to integrate trained models into production environments and ensure scalable performance.
- Proficient in using Python, have good working knowledge of R, and other programming languages to develop data pipelines, preprocessing routines to clean up data, and model automation workflows as needed.
- Apply knowledge of data structures, algorithms, and statistics to ensure model accuracy, efficiency, and reliability.
- Work with large language models (LLMs) such as ChatGPT, Gemini, or Meta LLMs, including OpenAI API integration and prompt optimization.
- Preferably to have worked with LangChain family of products, MCP, and other integration technologies with databases and other knowledge artifacts
- Implement and maintain MLOps practices for continuous training, deployment, and monitoring of AI models.
- Evaluate and adopt emerging AI tools, frameworks, and methodologies to
improve system per...
....Read more...
Type: Permanent Location: Cheyenne, US-WY
Salary / Rate: Not Specified
Posted: 2025-11-11 07:31:20
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Description & Requirements
Maximus is seeking a Junior Assembler Language Computer (ALC) Programmer to support our Internal Revenue Service (IRS) IO&A project.
The Jr.
ALC Programmer will provide program analysis, design and development support, maintain source code and modify and/or upgrade code, and conduct testing and debugging, as necessary.
This role is remote and requires the passing of the IRS MBI clearance process.
Essential Duties and Responsibilities:
- Develop, test, debug, implement, and document basic software programs.
- Assist in the research and analysis of existing systems and program requirements.
- Assist in resolving routine production support problems.
- Conduct routine quality assurance activities such as peer reviews.
Job-Specific Essential Duties and Responsibilities:
- Create, update, test, and maintain IBM ALC programs
- Conduct trial runs of programs and software applications to be sure that they will produce the desired information and that the instructions are correct
- Write, update, and maintain computer programs or software packages to handle specific jobs such as tracking inventory, storing or retrieving data, or controlling other equipment
- Write, analyze, review, and rewrite programs, using workflow chart and diagram and applying knowledge of computer capabilities, subject matter, and symbolic logic
- Perform or direct revision, repair, or expansion of existing programs to increase operating efficiency or adapt to new requirements
- Consult with managerial, engineering, and technical personnel to clarify program intent, identify problems, and suggest changes
- Perform systems analysis and programming tasks to maintain and control the use of computer systems software as a systems programmer
- Compile and write documentation of program development and subsequent revisions, adding comments to software application code so others can understand the program
- Prepare and maintain detailed workflow charts and diagrams that describe input, output, and logical operation, and convert them into a series of instructions coded in a computer language
- Work with CSA's (Computer Systems Analysts) to define and resolve problems in running computer programs
Job-Specific Minimum Requirements:
- Bachelor's Degree from an accredited college or university required.
An additional four (4) years of related experience may substitute for degree
- 1+ years of related experience strongly preferred
- Experience with IBM ALC programming language in a Z/OS environment
- Experience with IBM Job Control Language (JCL)
- Good verbal and written communication skills
- Demonstrated success in client support
- Ability to interface with all levels of management
- Ability to perform complex tasks with minimal supervision and guidance
- Excellent time management, scheduling and organizational skills
- Ability to work well independently or in a team setting
- Knowledge of federal information security policies, standar...
....Read more...
Type: Permanent Location: Birmingham, US-AL
Salary / Rate: Not Specified
Posted: 2025-11-11 07:31:20
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Description & Requirements
The AI Engineer will design, develop, and implement machine learning solutions, support AI initiatives for our IRS client, and contribute to innovative projects.
Position is fully remote.
Candidates in the Washington DC area are preferred in case there is a need to attend onsite client meetings.
The selected candidate must be able to obtain and wait for the completion of an interim Minimum Background Investigation (MBI) clearance prior to starting employment.
This process may take approximately 3-4 months.
Essential Duties and Responsibilities:
- Lead, develop, collaborate, and advance the applied and responsible use of AI, ML, mathematical, and data science solutions throughout the enterprise by finding the right fit of tools, technologies, methodologies, processes, and automation to enable effective and efficient solutions for each unique situation.
Lead the use of applied mathematical analyses to provide solutions.
- Lead efforts across the enterprise to support the creation of solutions and real mission outcomes, emphasizing and teaching the ability to flex and demonstrate initiative when dealing with ambiguous and fast-paced situations.
- Act as technical translator and role model for effectively articulating and translating technical needs, solutions, outputs, and impacts to all levels, regardless of technical proficiency, in a respectful, collaborative, and situationally appropriate manner.
- Maintain deep, current knowledge of the AI technology landscape and emerging developments, evaluating their applicability for use in production/operational environments.
- Lead the creation, curation, and promotion of playbooks, best practices, lessons learned, and firm intellectual capital.
Job-Specific Essential Duties and Responsibilities:
- Design, develop, and deploy (AI) Machine Learning, Deep Learning models that support business objectives and enhance product functionality.
- Demonstrated knowledge in designing, building, testing, and deploying machine models.
- Collaborate with software engineers and data scientists to integrate trained models into production environments and ensure scalable performance.
- Proficient in using Python, have good working knowledge of R, and other programming languages to develop data pipelines, preprocessing routines to clean up data, and model automation workflows as needed.
- Apply knowledge of data structures, algorithms, and statistics to ensure model accuracy, efficiency, and reliability.
- Work with large language models (LLMs) such as ChatGPT, Gemini, or Meta LLMs, including OpenAI API integration and prompt optimization.
- Preferably to have worked with LangChain family of products, MCP, and other integration technologies with databases and other knowledge artifacts
- Implement and maintain MLOps practices for continuous training, deployment, and monitoring of AI models.
- Evaluate and adopt emerging AI tools, frameworks, and methodologies to
improve system per...
....Read more...
Type: Permanent Location: Eau Claire, US-WI
Salary / Rate: Not Specified
Posted: 2025-11-11 07:31:19
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Description & Requirements
The AI Engineer will design, develop, and implement machine learning solutions, support AI initiatives for our IRS client, and contribute to innovative projects.
Position is fully remote.
Candidates in the Washington DC area are preferred in case there is a need to attend onsite client meetings.
The selected candidate must be able to obtain and wait for the completion of an interim Minimum Background Investigation (MBI) clearance prior to starting employment.
This process may take approximately 3-4 months.
Essential Duties and Responsibilities:
- Lead, develop, collaborate, and advance the applied and responsible use of AI, ML, mathematical, and data science solutions throughout the enterprise by finding the right fit of tools, technologies, methodologies, processes, and automation to enable effective and efficient solutions for each unique situation.
Lead the use of applied mathematical analyses to provide solutions.
- Lead efforts across the enterprise to support the creation of solutions and real mission outcomes, emphasizing and teaching the ability to flex and demonstrate initiative when dealing with ambiguous and fast-paced situations.
- Act as technical translator and role model for effectively articulating and translating technical needs, solutions, outputs, and impacts to all levels, regardless of technical proficiency, in a respectful, collaborative, and situationally appropriate manner.
- Maintain deep, current knowledge of the AI technology landscape and emerging developments, evaluating their applicability for use in production/operational environments.
- Lead the creation, curation, and promotion of playbooks, best practices, lessons learned, and firm intellectual capital.
Job-Specific Essential Duties and Responsibilities:
- Design, develop, and deploy (AI) Machine Learning, Deep Learning models that support business objectives and enhance product functionality.
- Demonstrated knowledge in designing, building, testing, and deploying machine models.
- Collaborate with software engineers and data scientists to integrate trained models into production environments and ensure scalable performance.
- Proficient in using Python, have good working knowledge of R, and other programming languages to develop data pipelines, preprocessing routines to clean up data, and model automation workflows as needed.
- Apply knowledge of data structures, algorithms, and statistics to ensure model accuracy, efficiency, and reliability.
- Work with large language models (LLMs) such as ChatGPT, Gemini, or Meta LLMs, including OpenAI API integration and prompt optimization.
- Preferably to have worked with LangChain family of products, MCP, and other integration technologies with databases and other knowledge artifacts
- Implement and maintain MLOps practices for continuous training, deployment, and monitoring of AI models.
- Evaluate and adopt emerging AI tools, frameworks, and methodologies to
improve system per...
....Read more...
Type: Permanent Location: Milwaukee, US-WI
Salary / Rate: Not Specified
Posted: 2025-11-11 07:31:19
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Description & Requirements
The AI Engineer will design, develop, and implement machine learning solutions, support AI initiatives for our IRS client, and contribute to innovative projects.
Position is fully remote.
Candidates in the Washington DC area are preferred in case there is a need to attend onsite client meetings.
The selected candidate must be able to obtain and wait for the completion of an interim Minimum Background Investigation (MBI) clearance prior to starting employment.
This process may take approximately 3-4 months.
Essential Duties and Responsibilities:
- Lead, develop, collaborate, and advance the applied and responsible use of AI, ML, mathematical, and data science solutions throughout the enterprise by finding the right fit of tools, technologies, methodologies, processes, and automation to enable effective and efficient solutions for each unique situation.
Lead the use of applied mathematical analyses to provide solutions.
- Lead efforts across the enterprise to support the creation of solutions and real mission outcomes, emphasizing and teaching the ability to flex and demonstrate initiative when dealing with ambiguous and fast-paced situations.
- Act as technical translator and role model for effectively articulating and translating technical needs, solutions, outputs, and impacts to all levels, regardless of technical proficiency, in a respectful, collaborative, and situationally appropriate manner.
- Maintain deep, current knowledge of the AI technology landscape and emerging developments, evaluating their applicability for use in production/operational environments.
- Lead the creation, curation, and promotion of playbooks, best practices, lessons learned, and firm intellectual capital.
Job-Specific Essential Duties and Responsibilities:
- Design, develop, and deploy (AI) Machine Learning, Deep Learning models that support business objectives and enhance product functionality.
- Demonstrated knowledge in designing, building, testing, and deploying machine models.
- Collaborate with software engineers and data scientists to integrate trained models into production environments and ensure scalable performance.
- Proficient in using Python, have good working knowledge of R, and other programming languages to develop data pipelines, preprocessing routines to clean up data, and model automation workflows as needed.
- Apply knowledge of data structures, algorithms, and statistics to ensure model accuracy, efficiency, and reliability.
- Work with large language models (LLMs) such as ChatGPT, Gemini, or Meta LLMs, including OpenAI API integration and prompt optimization.
- Preferably to have worked with LangChain family of products, MCP, and other integration technologies with databases and other knowledge artifacts
- Implement and maintain MLOps practices for continuous training, deployment, and monitoring of AI models.
- Evaluate and adopt emerging AI tools, frameworks, and methodologies to
improve system per...
....Read more...
Type: Permanent Location: Morgantown, US-WV
Salary / Rate: Not Specified
Posted: 2025-11-11 07:31:18
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Description & Requirements
The AI Engineer will design, develop, and implement machine learning solutions, support AI initiatives for our IRS client, and contribute to innovative projects.
Position is fully remote.
Candidates in the Washington DC area are preferred in case there is a need to attend onsite client meetings.
The selected candidate must be able to obtain and wait for the completion of an interim Minimum Background Investigation (MBI) clearance prior to starting employment.
This process may take approximately 3-4 months.
Essential Duties and Responsibilities:
- Lead, develop, collaborate, and advance the applied and responsible use of AI, ML, mathematical, and data science solutions throughout the enterprise by finding the right fit of tools, technologies, methodologies, processes, and automation to enable effective and efficient solutions for each unique situation.
Lead the use of applied mathematical analyses to provide solutions.
- Lead efforts across the enterprise to support the creation of solutions and real mission outcomes, emphasizing and teaching the ability to flex and demonstrate initiative when dealing with ambiguous and fast-paced situations.
- Act as technical translator and role model for effectively articulating and translating technical needs, solutions, outputs, and impacts to all levels, regardless of technical proficiency, in a respectful, collaborative, and situationally appropriate manner.
- Maintain deep, current knowledge of the AI technology landscape and emerging developments, evaluating their applicability for use in production/operational environments.
- Lead the creation, curation, and promotion of playbooks, best practices, lessons learned, and firm intellectual capital.
Job-Specific Essential Duties and Responsibilities:
- Design, develop, and deploy (AI) Machine Learning, Deep Learning models that support business objectives and enhance product functionality.
- Demonstrated knowledge in designing, building, testing, and deploying machine models.
- Collaborate with software engineers and data scientists to integrate trained models into production environments and ensure scalable performance.
- Proficient in using Python, have good working knowledge of R, and other programming languages to develop data pipelines, preprocessing routines to clean up data, and model automation workflows as needed.
- Apply knowledge of data structures, algorithms, and statistics to ensure model accuracy, efficiency, and reliability.
- Work with large language models (LLMs) such as ChatGPT, Gemini, or Meta LLMs, including OpenAI API integration and prompt optimization.
- Preferably to have worked with LangChain family of products, MCP, and other integration technologies with databases and other knowledge artifacts
- Implement and maintain MLOps practices for continuous training, deployment, and monitoring of AI models.
- Evaluate and adopt emerging AI tools, frameworks, and methodologies to
improve system per...
....Read more...
Type: Permanent Location: Tysons, US-VA
Salary / Rate: Not Specified
Posted: 2025-11-11 07:31:17
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Description & Requirements
The AI Engineer will design, develop, and implement machine learning solutions, support AI initiatives for our IRS client, and contribute to innovative projects.
Position is fully remote.
Candidates in the Washington DC area are preferred in case there is a need to attend onsite client meetings.
The selected candidate must be able to obtain and wait for the completion of an interim Minimum Background Investigation (MBI) clearance prior to starting employment.
This process may take approximately 3-4 months.
Essential Duties and Responsibilities:
- Lead, develop, collaborate, and advance the applied and responsible use of AI, ML, mathematical, and data science solutions throughout the enterprise by finding the right fit of tools, technologies, methodologies, processes, and automation to enable effective and efficient solutions for each unique situation.
Lead the use of applied mathematical analyses to provide solutions.
- Lead efforts across the enterprise to support the creation of solutions and real mission outcomes, emphasizing and teaching the ability to flex and demonstrate initiative when dealing with ambiguous and fast-paced situations.
- Act as technical translator and role model for effectively articulating and translating technical needs, solutions, outputs, and impacts to all levels, regardless of technical proficiency, in a respectful, collaborative, and situationally appropriate manner.
- Maintain deep, current knowledge of the AI technology landscape and emerging developments, evaluating their applicability for use in production/operational environments.
- Lead the creation, curation, and promotion of playbooks, best practices, lessons learned, and firm intellectual capital.
Job-Specific Essential Duties and Responsibilities:
- Design, develop, and deploy (AI) Machine Learning, Deep Learning models that support business objectives and enhance product functionality.
- Demonstrated knowledge in designing, building, testing, and deploying machine models.
- Collaborate with software engineers and data scientists to integrate trained models into production environments and ensure scalable performance.
- Proficient in using Python, have good working knowledge of R, and other programming languages to develop data pipelines, preprocessing routines to clean up data, and model automation workflows as needed.
- Apply knowledge of data structures, algorithms, and statistics to ensure model accuracy, efficiency, and reliability.
- Work with large language models (LLMs) such as ChatGPT, Gemini, or Meta LLMs, including OpenAI API integration and prompt optimization.
- Preferably to have worked with LangChain family of products, MCP, and other integration technologies with databases and other knowledge artifacts
- Implement and maintain MLOps practices for continuous training, deployment, and monitoring of AI models.
- Evaluate and adopt emerging AI tools, frameworks, and methodologies to
improve system per...
....Read more...
Type: Permanent Location: Roanoke, US-VA
Salary / Rate: Not Specified
Posted: 2025-11-11 07:31:16
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Description & Requirements
The AI Engineer will design, develop, and implement machine learning solutions, support AI initiatives for our IRS client, and contribute to innovative projects.
Position is fully remote.
Candidates in the Washington DC area are preferred in case there is a need to attend onsite client meetings.
The selected candidate must be able to obtain and wait for the completion of an interim Minimum Background Investigation (MBI) clearance prior to starting employment.
This process may take approximately 3-4 months.
Essential Duties and Responsibilities:
- Lead, develop, collaborate, and advance the applied and responsible use of AI, ML, mathematical, and data science solutions throughout the enterprise by finding the right fit of tools, technologies, methodologies, processes, and automation to enable effective and efficient solutions for each unique situation.
Lead the use of applied mathematical analyses to provide solutions.
- Lead efforts across the enterprise to support the creation of solutions and real mission outcomes, emphasizing and teaching the ability to flex and demonstrate initiative when dealing with ambiguous and fast-paced situations.
- Act as technical translator and role model for effectively articulating and translating technical needs, solutions, outputs, and impacts to all levels, regardless of technical proficiency, in a respectful, collaborative, and situationally appropriate manner.
- Maintain deep, current knowledge of the AI technology landscape and emerging developments, evaluating their applicability for use in production/operational environments.
- Lead the creation, curation, and promotion of playbooks, best practices, lessons learned, and firm intellectual capital.
Job-Specific Essential Duties and Responsibilities:
- Design, develop, and deploy (AI) Machine Learning, Deep Learning models that support business objectives and enhance product functionality.
- Demonstrated knowledge in designing, building, testing, and deploying machine models.
- Collaborate with software engineers and data scientists to integrate trained models into production environments and ensure scalable performance.
- Proficient in using Python, have good working knowledge of R, and other programming languages to develop data pipelines, preprocessing routines to clean up data, and model automation workflows as needed.
- Apply knowledge of data structures, algorithms, and statistics to ensure model accuracy, efficiency, and reliability.
- Work with large language models (LLMs) such as ChatGPT, Gemini, or Meta LLMs, including OpenAI API integration and prompt optimization.
- Preferably to have worked with LangChain family of products, MCP, and other integration technologies with databases and other knowledge artifacts
- Implement and maintain MLOps practices for continuous training, deployment, and monitoring of AI models.
- Evaluate and adopt emerging AI tools, frameworks, and methodologies to
improve system per...
....Read more...
Type: Permanent Location: Spokane, US-WA
Salary / Rate: Not Specified
Posted: 2025-11-11 07:31:15
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Description & Requirements
The AI Engineer will design, develop, and implement machine learning solutions, support AI initiatives for our IRS client, and contribute to innovative projects.
Position is fully remote.
Candidates in the Washington DC area are preferred in case there is a need to attend onsite client meetings.
The selected candidate must be able to obtain and wait for the completion of an interim Minimum Background Investigation (MBI) clearance prior to starting employment.
This process may take approximately 3-4 months.
Essential Duties and Responsibilities:
- Lead, develop, collaborate, and advance the applied and responsible use of AI, ML, mathematical, and data science solutions throughout the enterprise by finding the right fit of tools, technologies, methodologies, processes, and automation to enable effective and efficient solutions for each unique situation.
Lead the use of applied mathematical analyses to provide solutions.
- Lead efforts across the enterprise to support the creation of solutions and real mission outcomes, emphasizing and teaching the ability to flex and demonstrate initiative when dealing with ambiguous and fast-paced situations.
- Act as technical translator and role model for effectively articulating and translating technical needs, solutions, outputs, and impacts to all levels, regardless of technical proficiency, in a respectful, collaborative, and situationally appropriate manner.
- Maintain deep, current knowledge of the AI technology landscape and emerging developments, evaluating their applicability for use in production/operational environments.
- Lead the creation, curation, and promotion of playbooks, best practices, lessons learned, and firm intellectual capital.
Job-Specific Essential Duties and Responsibilities:
- Design, develop, and deploy (AI) Machine Learning, Deep Learning models that support business objectives and enhance product functionality.
- Demonstrated knowledge in designing, building, testing, and deploying machine models.
- Collaborate with software engineers and data scientists to integrate trained models into production environments and ensure scalable performance.
- Proficient in using Python, have good working knowledge of R, and other programming languages to develop data pipelines, preprocessing routines to clean up data, and model automation workflows as needed.
- Apply knowledge of data structures, algorithms, and statistics to ensure model accuracy, efficiency, and reliability.
- Work with large language models (LLMs) such as ChatGPT, Gemini, or Meta LLMs, including OpenAI API integration and prompt optimization.
- Preferably to have worked with LangChain family of products, MCP, and other integration technologies with databases and other knowledge artifacts
- Implement and maintain MLOps practices for continuous training, deployment, and monitoring of AI models.
- Evaluate and adopt emerging AI tools, frameworks, and methodologies to
improve system per...
....Read more...
Type: Permanent Location: Charleston, US-WV
Salary / Rate: Not Specified
Posted: 2025-11-11 07:31:15
-
Description & Requirements
The AI Engineer will design, develop, and implement machine learning solutions, support AI initiatives for our IRS client, and contribute to innovative projects.
Position is fully remote.
Candidates in the Washington DC area are preferred in case there is a need to attend onsite client meetings.
The selected candidate must be able to obtain and wait for the completion of an interim Minimum Background Investigation (MBI) clearance prior to starting employment.
This process may take approximately 3-4 months.
Essential Duties and Responsibilities:
- Lead, develop, collaborate, and advance the applied and responsible use of AI, ML, mathematical, and data science solutions throughout the enterprise by finding the right fit of tools, technologies, methodologies, processes, and automation to enable effective and efficient solutions for each unique situation.
Lead the use of applied mathematical analyses to provide solutions.
- Lead efforts across the enterprise to support the creation of solutions and real mission outcomes, emphasizing and teaching the ability to flex and demonstrate initiative when dealing with ambiguous and fast-paced situations.
- Act as technical translator and role model for effectively articulating and translating technical needs, solutions, outputs, and impacts to all levels, regardless of technical proficiency, in a respectful, collaborative, and situationally appropriate manner.
- Maintain deep, current knowledge of the AI technology landscape and emerging developments, evaluating their applicability for use in production/operational environments.
- Lead the creation, curation, and promotion of playbooks, best practices, lessons learned, and firm intellectual capital.
Job-Specific Essential Duties and Responsibilities:
- Design, develop, and deploy (AI) Machine Learning, Deep Learning models that support business objectives and enhance product functionality.
- Demonstrated knowledge in designing, building, testing, and deploying machine models.
- Collaborate with software engineers and data scientists to integrate trained models into production environments and ensure scalable performance.
- Proficient in using Python, have good working knowledge of R, and other programming languages to develop data pipelines, preprocessing routines to clean up data, and model automation workflows as needed.
- Apply knowledge of data structures, algorithms, and statistics to ensure model accuracy, efficiency, and reliability.
- Work with large language models (LLMs) such as ChatGPT, Gemini, or Meta LLMs, including OpenAI API integration and prompt optimization.
- Preferably to have worked with LangChain family of products, MCP, and other integration technologies with databases and other knowledge artifacts
- Implement and maintain MLOps practices for continuous training, deployment, and monitoring of AI models.
- Evaluate and adopt emerging AI tools, frameworks, and methodologies to
improve system per...
....Read more...
Type: Permanent Location: Seattle, US-WA
Salary / Rate: Not Specified
Posted: 2025-11-11 07:31:14
-
Description & Requirements
The AI Engineer will design, develop, and implement machine learning solutions, support AI initiatives for our IRS client, and contribute to innovative projects.
Position is fully remote.
Candidates in the Washington DC area are preferred in case there is a need to attend onsite client meetings.
The selected candidate must be able to obtain and wait for the completion of an interim Minimum Background Investigation (MBI) clearance prior to starting employment.
This process may take approximately 3-4 months.
Essential Duties and Responsibilities:
- Lead, develop, collaborate, and advance the applied and responsible use of AI, ML, mathematical, and data science solutions throughout the enterprise by finding the right fit of tools, technologies, methodologies, processes, and automation to enable effective and efficient solutions for each unique situation.
Lead the use of applied mathematical analyses to provide solutions.
- Lead efforts across the enterprise to support the creation of solutions and real mission outcomes, emphasizing and teaching the ability to flex and demonstrate initiative when dealing with ambiguous and fast-paced situations.
- Act as technical translator and role model for effectively articulating and translating technical needs, solutions, outputs, and impacts to all levels, regardless of technical proficiency, in a respectful, collaborative, and situationally appropriate manner.
- Maintain deep, current knowledge of the AI technology landscape and emerging developments, evaluating their applicability for use in production/operational environments.
- Lead the creation, curation, and promotion of playbooks, best practices, lessons learned, and firm intellectual capital.
Job-Specific Essential Duties and Responsibilities:
- Design, develop, and deploy (AI) Machine Learning, Deep Learning models that support business objectives and enhance product functionality.
- Demonstrated knowledge in designing, building, testing, and deploying machine models.
- Collaborate with software engineers and data scientists to integrate trained models into production environments and ensure scalable performance.
- Proficient in using Python, have good working knowledge of R, and other programming languages to develop data pipelines, preprocessing routines to clean up data, and model automation workflows as needed.
- Apply knowledge of data structures, algorithms, and statistics to ensure model accuracy, efficiency, and reliability.
- Work with large language models (LLMs) such as ChatGPT, Gemini, or Meta LLMs, including OpenAI API integration and prompt optimization.
- Preferably to have worked with LangChain family of products, MCP, and other integration technologies with databases and other knowledge artifacts
- Implement and maintain MLOps practices for continuous training, deployment, and monitoring of AI models.
- Evaluate and adopt emerging AI tools, frameworks, and methodologies to
improve system per...
....Read more...
Type: Permanent Location: Richmond, US-VA
Salary / Rate: Not Specified
Posted: 2025-11-11 07:31:14
-
Description & Requirements
The AI Engineer will design, develop, and implement machine learning solutions, support AI initiatives for our IRS client, and contribute to innovative projects.
Position is fully remote.
Candidates in the Washington DC area are preferred in case there is a need to attend onsite client meetings.
The selected candidate must be able to obtain and wait for the completion of an interim Minimum Background Investigation (MBI) clearance prior to starting employment.
This process may take approximately 3-4 months.
Essential Duties and Responsibilities:
- Lead, develop, collaborate, and advance the applied and responsible use of AI, ML, mathematical, and data science solutions throughout the enterprise by finding the right fit of tools, technologies, methodologies, processes, and automation to enable effective and efficient solutions for each unique situation.
Lead the use of applied mathematical analyses to provide solutions.
- Lead efforts across the enterprise to support the creation of solutions and real mission outcomes, emphasizing and teaching the ability to flex and demonstrate initiative when dealing with ambiguous and fast-paced situations.
- Act as technical translator and role model for effectively articulating and translating technical needs, solutions, outputs, and impacts to all levels, regardless of technical proficiency, in a respectful, collaborative, and situationally appropriate manner.
- Maintain deep, current knowledge of the AI technology landscape and emerging developments, evaluating their applicability for use in production/operational environments.
- Lead the creation, curation, and promotion of playbooks, best practices, lessons learned, and firm intellectual capital.
Job-Specific Essential Duties and Responsibilities:
- Design, develop, and deploy (AI) Machine Learning, Deep Learning models that support business objectives and enhance product functionality.
- Demonstrated knowledge in designing, building, testing, and deploying machine models.
- Collaborate with software engineers and data scientists to integrate trained models into production environments and ensure scalable performance.
- Proficient in using Python, have good working knowledge of R, and other programming languages to develop data pipelines, preprocessing routines to clean up data, and model automation workflows as needed.
- Apply knowledge of data structures, algorithms, and statistics to ensure model accuracy, efficiency, and reliability.
- Work with large language models (LLMs) such as ChatGPT, Gemini, or Meta LLMs, including OpenAI API integration and prompt optimization.
- Preferably to have worked with LangChain family of products, MCP, and other integration technologies with databases and other knowledge artifacts
- Implement and maintain MLOps practices for continuous training, deployment, and monitoring of AI models.
- Evaluate and adopt emerging AI tools, frameworks, and methodologies to
improve system per...
....Read more...
Type: Permanent Location: Dallas, US-TX
Salary / Rate: Not Specified
Posted: 2025-11-11 07:31:13
-
Description & Requirements
The AI Engineer will design, develop, and implement machine learning solutions, support AI initiatives for our IRS client, and contribute to innovative projects.
Position is fully remote.
Candidates in the Washington DC area are preferred in case there is a need to attend onsite client meetings.
The selected candidate must be able to obtain and wait for the completion of an interim Minimum Background Investigation (MBI) clearance prior to starting employment.
This process may take approximately 3-4 months.
Essential Duties and Responsibilities:
- Lead, develop, collaborate, and advance the applied and responsible use of AI, ML, mathematical, and data science solutions throughout the enterprise by finding the right fit of tools, technologies, methodologies, processes, and automation to enable effective and efficient solutions for each unique situation.
Lead the use of applied mathematical analyses to provide solutions.
- Lead efforts across the enterprise to support the creation of solutions and real mission outcomes, emphasizing and teaching the ability to flex and demonstrate initiative when dealing with ambiguous and fast-paced situations.
- Act as technical translator and role model for effectively articulating and translating technical needs, solutions, outputs, and impacts to all levels, regardless of technical proficiency, in a respectful, collaborative, and situationally appropriate manner.
- Maintain deep, current knowledge of the AI technology landscape and emerging developments, evaluating their applicability for use in production/operational environments.
- Lead the creation, curation, and promotion of playbooks, best practices, lessons learned, and firm intellectual capital.
Job-Specific Essential Duties and Responsibilities:
- Design, develop, and deploy (AI) Machine Learning, Deep Learning models that support business objectives and enhance product functionality.
- Demonstrated knowledge in designing, building, testing, and deploying machine models.
- Collaborate with software engineers and data scientists to integrate trained models into production environments and ensure scalable performance.
- Proficient in using Python, have good working knowledge of R, and other programming languages to develop data pipelines, preprocessing routines to clean up data, and model automation workflows as needed.
- Apply knowledge of data structures, algorithms, and statistics to ensure model accuracy, efficiency, and reliability.
- Work with large language models (LLMs) such as ChatGPT, Gemini, or Meta LLMs, including OpenAI API integration and prompt optimization.
- Preferably to have worked with LangChain family of products, MCP, and other integration technologies with databases and other knowledge artifacts
- Implement and maintain MLOps practices for continuous training, deployment, and monitoring of AI models.
- Evaluate and adopt emerging AI tools, frameworks, and methodologies to
improve system per...
....Read more...
Type: Permanent Location: Salt Lake City, US-UT
Salary / Rate: Not Specified
Posted: 2025-11-11 07:31:12
-
Description & Requirements
The AI Engineer will design, develop, and implement machine learning solutions, support AI initiatives for our IRS client, and contribute to innovative projects.
Position is fully remote.
Candidates in the Washington DC area are preferred in case there is a need to attend onsite client meetings.
The selected candidate must be able to obtain and wait for the completion of an interim Minimum Background Investigation (MBI) clearance prior to starting employment.
This process may take approximately 3-4 months.
Essential Duties and Responsibilities:
- Lead, develop, collaborate, and advance the applied and responsible use of AI, ML, mathematical, and data science solutions throughout the enterprise by finding the right fit of tools, technologies, methodologies, processes, and automation to enable effective and efficient solutions for each unique situation.
Lead the use of applied mathematical analyses to provide solutions.
- Lead efforts across the enterprise to support the creation of solutions and real mission outcomes, emphasizing and teaching the ability to flex and demonstrate initiative when dealing with ambiguous and fast-paced situations.
- Act as technical translator and role model for effectively articulating and translating technical needs, solutions, outputs, and impacts to all levels, regardless of technical proficiency, in a respectful, collaborative, and situationally appropriate manner.
- Maintain deep, current knowledge of the AI technology landscape and emerging developments, evaluating their applicability for use in production/operational environments.
- Lead the creation, curation, and promotion of playbooks, best practices, lessons learned, and firm intellectual capital.
Job-Specific Essential Duties and Responsibilities:
- Design, develop, and deploy (AI) Machine Learning, Deep Learning models that support business objectives and enhance product functionality.
- Demonstrated knowledge in designing, building, testing, and deploying machine models.
- Collaborate with software engineers and data scientists to integrate trained models into production environments and ensure scalable performance.
- Proficient in using Python, have good working knowledge of R, and other programming languages to develop data pipelines, preprocessing routines to clean up data, and model automation workflows as needed.
- Apply knowledge of data structures, algorithms, and statistics to ensure model accuracy, efficiency, and reliability.
- Work with large language models (LLMs) such as ChatGPT, Gemini, or Meta LLMs, including OpenAI API integration and prompt optimization.
- Preferably to have worked with LangChain family of products, MCP, and other integration technologies with databases and other knowledge artifacts
- Implement and maintain MLOps practices for continuous training, deployment, and monitoring of AI models.
- Evaluate and adopt emerging AI tools, frameworks, and methodologies to
improve system per...
....Read more...
Type: Permanent Location: Bennington, US-VT
Salary / Rate: Not Specified
Posted: 2025-11-11 07:31:12
-
Description & Requirements
The AI Engineer will design, develop, and implement machine learning solutions, support AI initiatives for our IRS client, and contribute to innovative projects.
Position is fully remote.
Candidates in the Washington DC area are preferred in case there is a need to attend onsite client meetings.
The selected candidate must be able to obtain and wait for the completion of an interim Minimum Background Investigation (MBI) clearance prior to starting employment.
This process may take approximately 3-4 months.
Essential Duties and Responsibilities:
- Lead, develop, collaborate, and advance the applied and responsible use of AI, ML, mathematical, and data science solutions throughout the enterprise by finding the right fit of tools, technologies, methodologies, processes, and automation to enable effective and efficient solutions for each unique situation.
Lead the use of applied mathematical analyses to provide solutions.
- Lead efforts across the enterprise to support the creation of solutions and real mission outcomes, emphasizing and teaching the ability to flex and demonstrate initiative when dealing with ambiguous and fast-paced situations.
- Act as technical translator and role model for effectively articulating and translating technical needs, solutions, outputs, and impacts to all levels, regardless of technical proficiency, in a respectful, collaborative, and situationally appropriate manner.
- Maintain deep, current knowledge of the AI technology landscape and emerging developments, evaluating their applicability for use in production/operational environments.
- Lead the creation, curation, and promotion of playbooks, best practices, lessons learned, and firm intellectual capital.
Job-Specific Essential Duties and Responsibilities:
- Design, develop, and deploy (AI) Machine Learning, Deep Learning models that support business objectives and enhance product functionality.
- Demonstrated knowledge in designing, building, testing, and deploying machine models.
- Collaborate with software engineers and data scientists to integrate trained models into production environments and ensure scalable performance.
- Proficient in using Python, have good working knowledge of R, and other programming languages to develop data pipelines, preprocessing routines to clean up data, and model automation workflows as needed.
- Apply knowledge of data structures, algorithms, and statistics to ensure model accuracy, efficiency, and reliability.
- Work with large language models (LLMs) such as ChatGPT, Gemini, or Meta LLMs, including OpenAI API integration and prompt optimization.
- Preferably to have worked with LangChain family of products, MCP, and other integration technologies with databases and other knowledge artifacts
- Implement and maintain MLOps practices for continuous training, deployment, and monitoring of AI models.
- Evaluate and adopt emerging AI tools, frameworks, and methodologies to
improve system per...
....Read more...
Type: Permanent Location: St. George, US-UT
Salary / Rate: Not Specified
Posted: 2025-11-11 07:31:11
-
Description & Requirements
The AI Engineer will design, develop, and implement machine learning solutions, support AI initiatives for our IRS client, and contribute to innovative projects.
Position is fully remote.
Candidates in the Washington DC area are preferred in case there is a need to attend onsite client meetings.
The selected candidate must be able to obtain and wait for the completion of an interim Minimum Background Investigation (MBI) clearance prior to starting employment.
This process may take approximately 3-4 months.
Essential Duties and Responsibilities:
- Lead, develop, collaborate, and advance the applied and responsible use of AI, ML, mathematical, and data science solutions throughout the enterprise by finding the right fit of tools, technologies, methodologies, processes, and automation to enable effective and efficient solutions for each unique situation.
Lead the use of applied mathematical analyses to provide solutions.
- Lead efforts across the enterprise to support the creation of solutions and real mission outcomes, emphasizing and teaching the ability to flex and demonstrate initiative when dealing with ambiguous and fast-paced situations.
- Act as technical translator and role model for effectively articulating and translating technical needs, solutions, outputs, and impacts to all levels, regardless of technical proficiency, in a respectful, collaborative, and situationally appropriate manner.
- Maintain deep, current knowledge of the AI technology landscape and emerging developments, evaluating their applicability for use in production/operational environments.
- Lead the creation, curation, and promotion of playbooks, best practices, lessons learned, and firm intellectual capital.
Job-Specific Essential Duties and Responsibilities:
- Design, develop, and deploy (AI) Machine Learning, Deep Learning models that support business objectives and enhance product functionality.
- Demonstrated knowledge in designing, building, testing, and deploying machine models.
- Collaborate with software engineers and data scientists to integrate trained models into production environments and ensure scalable performance.
- Proficient in using Python, have good working knowledge of R, and other programming languages to develop data pipelines, preprocessing routines to clean up data, and model automation workflows as needed.
- Apply knowledge of data structures, algorithms, and statistics to ensure model accuracy, efficiency, and reliability.
- Work with large language models (LLMs) such as ChatGPT, Gemini, or Meta LLMs, including OpenAI API integration and prompt optimization.
- Preferably to have worked with LangChain family of products, MCP, and other integration technologies with databases and other knowledge artifacts
- Implement and maintain MLOps practices for continuous training, deployment, and monitoring of AI models.
- Evaluate and adopt emerging AI tools, frameworks, and methodologies to
improve system per...
....Read more...
Type: Permanent Location: Burlington, US-VT
Salary / Rate: Not Specified
Posted: 2025-11-11 07:31:11
-
Description & Requirements
The AI Engineer will design, develop, and implement machine learning solutions, support AI initiatives for our IRS client, and contribute to innovative projects.
Position is fully remote.
Candidates in the Washington DC area are preferred in case there is a need to attend onsite client meetings.
The selected candidate must be able to obtain and wait for the completion of an interim Minimum Background Investigation (MBI) clearance prior to starting employment.
This process may take approximately 3-4 months.
Essential Duties and Responsibilities:
- Lead, develop, collaborate, and advance the applied and responsible use of AI, ML, mathematical, and data science solutions throughout the enterprise by finding the right fit of tools, technologies, methodologies, processes, and automation to enable effective and efficient solutions for each unique situation.
Lead the use of applied mathematical analyses to provide solutions.
- Lead efforts across the enterprise to support the creation of solutions and real mission outcomes, emphasizing and teaching the ability to flex and demonstrate initiative when dealing with ambiguous and fast-paced situations.
- Act as technical translator and role model for effectively articulating and translating technical needs, solutions, outputs, and impacts to all levels, regardless of technical proficiency, in a respectful, collaborative, and situationally appropriate manner.
- Maintain deep, current knowledge of the AI technology landscape and emerging developments, evaluating their applicability for use in production/operational environments.
- Lead the creation, curation, and promotion of playbooks, best practices, lessons learned, and firm intellectual capital.
Job-Specific Essential Duties and Responsibilities:
- Design, develop, and deploy (AI) Machine Learning, Deep Learning models that support business objectives and enhance product functionality.
- Demonstrated knowledge in designing, building, testing, and deploying machine models.
- Collaborate with software engineers and data scientists to integrate trained models into production environments and ensure scalable performance.
- Proficient in using Python, have good working knowledge of R, and other programming languages to develop data pipelines, preprocessing routines to clean up data, and model automation workflows as needed.
- Apply knowledge of data structures, algorithms, and statistics to ensure model accuracy, efficiency, and reliability.
- Work with large language models (LLMs) such as ChatGPT, Gemini, or Meta LLMs, including OpenAI API integration and prompt optimization.
- Preferably to have worked with LangChain family of products, MCP, and other integration technologies with databases and other knowledge artifacts
- Implement and maintain MLOps practices for continuous training, deployment, and monitoring of AI models.
- Evaluate and adopt emerging AI tools, frameworks, and methodologies to
improve system per...
....Read more...
Type: Permanent Location: Sioux Falls, US-SD
Salary / Rate: Not Specified
Posted: 2025-11-11 07:31:10
-
Description & Requirements
The AI Engineer will design, develop, and implement machine learning solutions, support AI initiatives for our IRS client, and contribute to innovative projects.
Position is fully remote.
Candidates in the Washington DC area are preferred in case there is a need to attend onsite client meetings.
The selected candidate must be able to obtain and wait for the completion of an interim Minimum Background Investigation (MBI) clearance prior to starting employment.
This process may take approximately 3-4 months.
Essential Duties and Responsibilities:
- Lead, develop, collaborate, and advance the applied and responsible use of AI, ML, mathematical, and data science solutions throughout the enterprise by finding the right fit of tools, technologies, methodologies, processes, and automation to enable effective and efficient solutions for each unique situation.
Lead the use of applied mathematical analyses to provide solutions.
- Lead efforts across the enterprise to support the creation of solutions and real mission outcomes, emphasizing and teaching the ability to flex and demonstrate initiative when dealing with ambiguous and fast-paced situations.
- Act as technical translator and role model for effectively articulating and translating technical needs, solutions, outputs, and impacts to all levels, regardless of technical proficiency, in a respectful, collaborative, and situationally appropriate manner.
- Maintain deep, current knowledge of the AI technology landscape and emerging developments, evaluating their applicability for use in production/operational environments.
- Lead the creation, curation, and promotion of playbooks, best practices, lessons learned, and firm intellectual capital.
Job-Specific Essential Duties and Responsibilities:
- Design, develop, and deploy (AI) Machine Learning, Deep Learning models that support business objectives and enhance product functionality.
- Demonstrated knowledge in designing, building, testing, and deploying machine models.
- Collaborate with software engineers and data scientists to integrate trained models into production environments and ensure scalable performance.
- Proficient in using Python, have good working knowledge of R, and other programming languages to develop data pipelines, preprocessing routines to clean up data, and model automation workflows as needed.
- Apply knowledge of data structures, algorithms, and statistics to ensure model accuracy, efficiency, and reliability.
- Work with large language models (LLMs) such as ChatGPT, Gemini, or Meta LLMs, including OpenAI API integration and prompt optimization.
- Preferably to have worked with LangChain family of products, MCP, and other integration technologies with databases and other knowledge artifacts
- Implement and maintain MLOps practices for continuous training, deployment, and monitoring of AI models.
- Evaluate and adopt emerging AI tools, frameworks, and methodologies to
improve system per...
....Read more...
Type: Permanent Location: Lubbock, US-TX
Salary / Rate: Not Specified
Posted: 2025-11-11 07:31:10
-
Description & Requirements
The AI Engineer will design, develop, and implement machine learning solutions, support AI initiatives for our IRS client, and contribute to innovative projects.
Position is fully remote.
Candidates in the Washington DC area are preferred in case there is a need to attend onsite client meetings.
The selected candidate must be able to obtain and wait for the completion of an interim Minimum Background Investigation (MBI) clearance prior to starting employment.
This process may take approximately 3-4 months.
Essential Duties and Responsibilities:
- Lead, develop, collaborate, and advance the applied and responsible use of AI, ML, mathematical, and data science solutions throughout the enterprise by finding the right fit of tools, technologies, methodologies, processes, and automation to enable effective and efficient solutions for each unique situation.
Lead the use of applied mathematical analyses to provide solutions.
- Lead efforts across the enterprise to support the creation of solutions and real mission outcomes, emphasizing and teaching the ability to flex and demonstrate initiative when dealing with ambiguous and fast-paced situations.
- Act as technical translator and role model for effectively articulating and translating technical needs, solutions, outputs, and impacts to all levels, regardless of technical proficiency, in a respectful, collaborative, and situationally appropriate manner.
- Maintain deep, current knowledge of the AI technology landscape and emerging developments, evaluating their applicability for use in production/operational environments.
- Lead the creation, curation, and promotion of playbooks, best practices, lessons learned, and firm intellectual capital.
Job-Specific Essential Duties and Responsibilities:
- Design, develop, and deploy (AI) Machine Learning, Deep Learning models that support business objectives and enhance product functionality.
- Demonstrated knowledge in designing, building, testing, and deploying machine models.
- Collaborate with software engineers and data scientists to integrate trained models into production environments and ensure scalable performance.
- Proficient in using Python, have good working knowledge of R, and other programming languages to develop data pipelines, preprocessing routines to clean up data, and model automation workflows as needed.
- Apply knowledge of data structures, algorithms, and statistics to ensure model accuracy, efficiency, and reliability.
- Work with large language models (LLMs) such as ChatGPT, Gemini, or Meta LLMs, including OpenAI API integration and prompt optimization.
- Preferably to have worked with LangChain family of products, MCP, and other integration technologies with databases and other knowledge artifacts
- Implement and maintain MLOps practices for continuous training, deployment, and monitoring of AI models.
- Evaluate and adopt emerging AI tools, frameworks, and methodologies to
improve system per...
....Read more...
Type: Permanent Location: Houston, US-TX
Salary / Rate: Not Specified
Posted: 2025-11-11 07:31:09
-
Description & Requirements
The AI Engineer will design, develop, and implement machine learning solutions, support AI initiatives for our IRS client, and contribute to innovative projects.
Position is fully remote.
Candidates in the Washington DC area are preferred in case there is a need to attend onsite client meetings.
The selected candidate must be able to obtain and wait for the completion of an interim Minimum Background Investigation (MBI) clearance prior to starting employment.
This process may take approximately 3-4 months.
Essential Duties and Responsibilities:
- Lead, develop, collaborate, and advance the applied and responsible use of AI, ML, mathematical, and data science solutions throughout the enterprise by finding the right fit of tools, technologies, methodologies, processes, and automation to enable effective and efficient solutions for each unique situation.
Lead the use of applied mathematical analyses to provide solutions.
- Lead efforts across the enterprise to support the creation of solutions and real mission outcomes, emphasizing and teaching the ability to flex and demonstrate initiative when dealing with ambiguous and fast-paced situations.
- Act as technical translator and role model for effectively articulating and translating technical needs, solutions, outputs, and impacts to all levels, regardless of technical proficiency, in a respectful, collaborative, and situationally appropriate manner.
- Maintain deep, current knowledge of the AI technology landscape and emerging developments, evaluating their applicability for use in production/operational environments.
- Lead the creation, curation, and promotion of playbooks, best practices, lessons learned, and firm intellectual capital.
Job-Specific Essential Duties and Responsibilities:
- Design, develop, and deploy (AI) Machine Learning, Deep Learning models that support business objectives and enhance product functionality.
- Demonstrated knowledge in designing, building, testing, and deploying machine models.
- Collaborate with software engineers and data scientists to integrate trained models into production environments and ensure scalable performance.
- Proficient in using Python, have good working knowledge of R, and other programming languages to develop data pipelines, preprocessing routines to clean up data, and model automation workflows as needed.
- Apply knowledge of data structures, algorithms, and statistics to ensure model accuracy, efficiency, and reliability.
- Work with large language models (LLMs) such as ChatGPT, Gemini, or Meta LLMs, including OpenAI API integration and prompt optimization.
- Preferably to have worked with LangChain family of products, MCP, and other integration technologies with databases and other knowledge artifacts
- Implement and maintain MLOps practices for continuous training, deployment, and monitoring of AI models.
- Evaluate and adopt emerging AI tools, frameworks, and methodologies to
improve system per...
....Read more...
Type: Permanent Location: San Antonio, US-TX
Salary / Rate: Not Specified
Posted: 2025-11-11 07:31:07
-
Description & Requirements
The AI Engineer will design, develop, and implement machine learning solutions, support AI initiatives for our IRS client, and contribute to innovative projects.
Position is fully remote.
Candidates in the Washington DC area are preferred in case there is a need to attend onsite client meetings.
The selected candidate must be able to obtain and wait for the completion of an interim Minimum Background Investigation (MBI) clearance prior to starting employment.
This process may take approximately 3-4 months.
Essential Duties and Responsibilities:
- Lead, develop, collaborate, and advance the applied and responsible use of AI, ML, mathematical, and data science solutions throughout the enterprise by finding the right fit of tools, technologies, methodologies, processes, and automation to enable effective and efficient solutions for each unique situation.
Lead the use of applied mathematical analyses to provide solutions.
- Lead efforts across the enterprise to support the creation of solutions and real mission outcomes, emphasizing and teaching the ability to flex and demonstrate initiative when dealing with ambiguous and fast-paced situations.
- Act as technical translator and role model for effectively articulating and translating technical needs, solutions, outputs, and impacts to all levels, regardless of technical proficiency, in a respectful, collaborative, and situationally appropriate manner.
- Maintain deep, current knowledge of the AI technology landscape and emerging developments, evaluating their applicability for use in production/operational environments.
- Lead the creation, curation, and promotion of playbooks, best practices, lessons learned, and firm intellectual capital.
Job-Specific Essential Duties and Responsibilities:
- Design, develop, and deploy (AI) Machine Learning, Deep Learning models that support business objectives and enhance product functionality.
- Demonstrated knowledge in designing, building, testing, and deploying machine models.
- Collaborate with software engineers and data scientists to integrate trained models into production environments and ensure scalable performance.
- Proficient in using Python, have good working knowledge of R, and other programming languages to develop data pipelines, preprocessing routines to clean up data, and model automation workflows as needed.
- Apply knowledge of data structures, algorithms, and statistics to ensure model accuracy, efficiency, and reliability.
- Work with large language models (LLMs) such as ChatGPT, Gemini, or Meta LLMs, including OpenAI API integration and prompt optimization.
- Preferably to have worked with LangChain family of products, MCP, and other integration technologies with databases and other knowledge artifacts
- Implement and maintain MLOps practices for continuous training, deployment, and monitoring of AI models.
- Evaluate and adopt emerging AI tools, frameworks, and methodologies to
improve system per...
....Read more...
Type: Permanent Location: Nashville, US-TN
Salary / Rate: Not Specified
Posted: 2025-11-11 07:31:07
-
Description & Requirements
The AI Engineer will design, develop, and implement machine learning solutions, support AI initiatives for our IRS client, and contribute to innovative projects.
Position is fully remote.
Candidates in the Washington DC area are preferred in case there is a need to attend onsite client meetings.
The selected candidate must be able to obtain and wait for the completion of an interim Minimum Background Investigation (MBI) clearance prior to starting employment.
This process may take approximately 3-4 months.
Essential Duties and Responsibilities:
- Lead, develop, collaborate, and advance the applied and responsible use of AI, ML, mathematical, and data science solutions throughout the enterprise by finding the right fit of tools, technologies, methodologies, processes, and automation to enable effective and efficient solutions for each unique situation.
Lead the use of applied mathematical analyses to provide solutions.
- Lead efforts across the enterprise to support the creation of solutions and real mission outcomes, emphasizing and teaching the ability to flex and demonstrate initiative when dealing with ambiguous and fast-paced situations.
- Act as technical translator and role model for effectively articulating and translating technical needs, solutions, outputs, and impacts to all levels, regardless of technical proficiency, in a respectful, collaborative, and situationally appropriate manner.
- Maintain deep, current knowledge of the AI technology landscape and emerging developments, evaluating their applicability for use in production/operational environments.
- Lead the creation, curation, and promotion of playbooks, best practices, lessons learned, and firm intellectual capital.
Job-Specific Essential Duties and Responsibilities:
- Design, develop, and deploy (AI) Machine Learning, Deep Learning models that support business objectives and enhance product functionality.
- Demonstrated knowledge in designing, building, testing, and deploying machine models.
- Collaborate with software engineers and data scientists to integrate trained models into production environments and ensure scalable performance.
- Proficient in using Python, have good working knowledge of R, and other programming languages to develop data pipelines, preprocessing routines to clean up data, and model automation workflows as needed.
- Apply knowledge of data structures, algorithms, and statistics to ensure model accuracy, efficiency, and reliability.
- Work with large language models (LLMs) such as ChatGPT, Gemini, or Meta LLMs, including OpenAI API integration and prompt optimization.
- Preferably to have worked with LangChain family of products, MCP, and other integration technologies with databases and other knowledge artifacts
- Implement and maintain MLOps practices for continuous training, deployment, and monitoring of AI models.
- Evaluate and adopt emerging AI tools, frameworks, and methodologies to
improve system per...
....Read more...
Type: Permanent Location: Memphis, US-TN
Salary / Rate: Not Specified
Posted: 2025-11-11 07:31:06
-
Description & Requirements
The AI Engineer will design, develop, and implement machine learning solutions, support AI initiatives for our IRS client, and contribute to innovative projects.
Position is fully remote.
Candidates in the Washington DC area are preferred in case there is a need to attend onsite client meetings.
The selected candidate must be able to obtain and wait for the completion of an interim Minimum Background Investigation (MBI) clearance prior to starting employment.
This process may take approximately 3-4 months.
Essential Duties and Responsibilities:
- Lead, develop, collaborate, and advance the applied and responsible use of AI, ML, mathematical, and data science solutions throughout the enterprise by finding the right fit of tools, technologies, methodologies, processes, and automation to enable effective and efficient solutions for each unique situation.
Lead the use of applied mathematical analyses to provide solutions.
- Lead efforts across the enterprise to support the creation of solutions and real mission outcomes, emphasizing and teaching the ability to flex and demonstrate initiative when dealing with ambiguous and fast-paced situations.
- Act as technical translator and role model for effectively articulating and translating technical needs, solutions, outputs, and impacts to all levels, regardless of technical proficiency, in a respectful, collaborative, and situationally appropriate manner.
- Maintain deep, current knowledge of the AI technology landscape and emerging developments, evaluating their applicability for use in production/operational environments.
- Lead the creation, curation, and promotion of playbooks, best practices, lessons learned, and firm intellectual capital.
Job-Specific Essential Duties and Responsibilities:
- Design, develop, and deploy (AI) Machine Learning, Deep Learning models that support business objectives and enhance product functionality.
- Demonstrated knowledge in designing, building, testing, and deploying machine models.
- Collaborate with software engineers and data scientists to integrate trained models into production environments and ensure scalable performance.
- Proficient in using Python, have good working knowledge of R, and other programming languages to develop data pipelines, preprocessing routines to clean up data, and model automation workflows as needed.
- Apply knowledge of data structures, algorithms, and statistics to ensure model accuracy, efficiency, and reliability.
- Work with large language models (LLMs) such as ChatGPT, Gemini, or Meta LLMs, including OpenAI API integration and prompt optimization.
- Preferably to have worked with LangChain family of products, MCP, and other integration technologies with databases and other knowledge artifacts
- Implement and maintain MLOps practices for continuous training, deployment, and monitoring of AI models.
- Evaluate and adopt emerging AI tools, frameworks, and methodologies to
improve system per...
....Read more...
Type: Permanent Location: Rapid City, US-SD
Salary / Rate: Not Specified
Posted: 2025-11-11 07:31:06
-
Description & Requirements
The AI Engineer will design, develop, and implement machine learning solutions, support AI initiatives for our IRS client, and contribute to innovative projects.
Position is fully remote.
Candidates in the Washington DC area are preferred in case there is a need to attend onsite client meetings.
The selected candidate must be able to obtain and wait for the completion of an interim Minimum Background Investigation (MBI) clearance prior to starting employment.
This process may take approximately 3-4 months.
Essential Duties and Responsibilities:
- Lead, develop, collaborate, and advance the applied and responsible use of AI, ML, mathematical, and data science solutions throughout the enterprise by finding the right fit of tools, technologies, methodologies, processes, and automation to enable effective and efficient solutions for each unique situation.
Lead the use of applied mathematical analyses to provide solutions.
- Lead efforts across the enterprise to support the creation of solutions and real mission outcomes, emphasizing and teaching the ability to flex and demonstrate initiative when dealing with ambiguous and fast-paced situations.
- Act as technical translator and role model for effectively articulating and translating technical needs, solutions, outputs, and impacts to all levels, regardless of technical proficiency, in a respectful, collaborative, and situationally appropriate manner.
- Maintain deep, current knowledge of the AI technology landscape and emerging developments, evaluating their applicability for use in production/operational environments.
- Lead the creation, curation, and promotion of playbooks, best practices, lessons learned, and firm intellectual capital.
Job-Specific Essential Duties and Responsibilities:
- Design, develop, and deploy (AI) Machine Learning, Deep Learning models that support business objectives and enhance product functionality.
- Demonstrated knowledge in designing, building, testing, and deploying machine models.
- Collaborate with software engineers and data scientists to integrate trained models into production environments and ensure scalable performance.
- Proficient in using Python, have good working knowledge of R, and other programming languages to develop data pipelines, preprocessing routines to clean up data, and model automation workflows as needed.
- Apply knowledge of data structures, algorithms, and statistics to ensure model accuracy, efficiency, and reliability.
- Work with large language models (LLMs) such as ChatGPT, Gemini, or Meta LLMs, including OpenAI API integration and prompt optimization.
- Preferably to have worked with LangChain family of products, MCP, and other integration technologies with databases and other knowledge artifacts
- Implement and maintain MLOps practices for continuous training, deployment, and monitoring of AI models.
- Evaluate and adopt emerging AI tools, frameworks, and methodologies to
improve system per...
....Read more...
Type: Permanent Location: Newport, US-RI
Salary / Rate: Not Specified
Posted: 2025-11-11 07:31:05
