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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: Newark, US-NJ
Salary / Rate: Not Specified
Posted: 2025-12-11 08:01:50
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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: Lebanon, US-NH
Salary / Rate: Not Specified
Posted: 2025-12-11 08:01:49
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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: Reno, US-NV
Salary / Rate: Not Specified
Posted: 2025-12-11 08:01:49
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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: Manchester, US-NH
Salary / Rate: Not Specified
Posted: 2025-12-11 08:01:48
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Create an outstanding customer experience through exceptional service.
Establish and maintain a safe and clean environment that encourages our customers to return.
Demonstrate the company's core values of respect, honesty, integrity, diversity, inclusion, and safety of others.Based in Washington, Qualify Food Centers (QFC) merged with The Kroger Company in 1998.
Today, we're proudly serving QFC customers in 59 stores throughout the Washington and Oregon.
As part of the Kroger family of companies, we take pride in bringing diverse teams with a passion for food and people together with one common purpose: To Feed the Human Spirit.
With a history of innovation, we work tirelessly to create amazing experiences for our customers, communities AND each other, with food at the heart of it all.
Here, people matter.
That's why we strive to provide the ingredients you need to create your own recipe for success at work and in life.
We help feed your future by providing the value and care you need to grow.
If you're caring, purpose-driven and hungry to learn, your potential is unlimited.
Whether you're seeking a part-time position or a new career path, we've got a fresh opportunity for you.
Apply today to become part of our QFC family!
What you'll receive from us:
The Kroger Family of Companies offers comprehensive benefits to support your Associate Well-Being, including Physical, Emotional, Financial and more.
We'll help you thrive, with access to:
* A wide range of healthcare coverage, including affordable, comprehensive medical, dental, vision and prescription coverage, through company plans or collective bargaining agreement plans.
* Flexible scheduling in full- and part-time roles with paid time off, including holiday and sick pay based on eligibility and length of service.
* Emotional and financial support with free counseling through our Employee Assistance Program and free, confidential financial tools and coaching with Goldman Sachs Ayco.
* Valuable associate discounts on purchases, including food, travel, technology and so much more.
* Up to $21,000 in tuition reimbursement over your career, through our industry-leading Continuing Education program.
* Vast potential for growth, through an abundance of industry-leading training programs and diverse career pathways.
For more information about benefits and eligibility, please visit our Benefits Page ! Minimum Position Qualifications:
* Customer service experience
* Effective communication skills
* Knowledge of basic math (counting, addition, and subtraction)
Desired Previous Job Experience:
* Customer service experience
* Prior experience as a Bagger or Courtesy Clerk
We continuously accept applications for roles like the one posted.
Our team regularly reviews submissions and will contact applicants should a position become available that aligns with the applicant's qualifications and our organizational priorities.Essential Job Functio...
....Read more...
Type: Permanent Location: Lynnwood, US-WA
Salary / Rate: 21.03
Posted: 2025-12-11 08:01:47
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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: Bozeman, US-MT
Salary / Rate: Not Specified
Posted: 2025-12-11 08:01:46
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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: Omaha, US-NE
Salary / Rate: Not Specified
Posted: 2025-12-11 08:01:45
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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: Missoula, US-MT
Salary / Rate: Not Specified
Posted: 2025-12-11 08:01:44
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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: North Platte, US-NE
Salary / Rate: Not Specified
Posted: 2025-12-11 08:01:44
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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: Billings, US-MT
Salary / Rate: Not Specified
Posted: 2025-12-11 08:01:43
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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: Las Vegas, US-NV
Salary / Rate: Not Specified
Posted: 2025-12-11 08:01:42
-
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: Jackson, US-MS
Salary / Rate: Not Specified
Posted: 2025-12-11 08:01:41
-
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: Springfield, US-MO
Salary / Rate: Not Specified
Posted: 2025-12-11 08:01:41
-
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. Louis, US-MO
Salary / Rate: Not Specified
Posted: 2025-12-11 08:01:40
-
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: Kansas City, US-MO
Salary / Rate: Not Specified
Posted: 2025-12-11 08:01:39
-
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: Tupelo, US-MS
Salary / Rate: Not Specified
Posted: 2025-12-11 08:01:38
-
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: Hattiesburg, US-MS
Salary / Rate: Not Specified
Posted: 2025-12-11 08:01:37
-
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: Duluth, US-MN
Salary / Rate: Not Specified
Posted: 2025-12-11 08:01:37
-
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: Marquette, US-MI
Salary / Rate: Not Specified
Posted: 2025-12-11 08:01:36
-
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: Grand Rapids, US-MI
Salary / Rate: Not Specified
Posted: 2025-12-11 08:01:35
-
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: Minneapolis, US-MN
Salary / Rate: Not Specified
Posted: 2025-12-11 08:01:34
-
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: Springfield, US-MA
Salary / Rate: Not Specified
Posted: 2025-12-11 08:01:33
-
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: Detroit, US-MI
Salary / Rate: Not Specified
Posted: 2025-12-11 08:01:33
-
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: Aberdeen, US-MD
Salary / Rate: Not Specified
Posted: 2025-12-11 08:01:32
-
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: Baton Rouge, US-LA
Salary / Rate: Not Specified
Posted: 2025-12-11 08:01:31
