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Compensation
$20.00 Hourly
Job Description
Text JOBS to 811DIG (811344) to connect with our hiring team today!
Are you an outdoor enthusiast who enjoys independent field work and is looking to jump start your career? If you are a quality-conscious, safety focused, hard-working individual, then consider an exciting long-term career at USIC!
The USIC name and brand are highly recognized and respected for our strong commitment to quality and safety.
We are America’s leader in underground utility damage prevention and advanced infrastructure services, performing more than 84 million locates each year for the more than 1,400 telecommunications, electric, gas, water, and sewer utilities and municipalities we serve nationwide.
Our mission is to deliver quality, efficient, safe, and innovative solutions to protect our partners’ infrastructure and critical assets.
At USIC, we are committed to Leading from the Ground Up.
We are looking for individuals who consider themselves problem solvers, take pride in public safety, and thrive in a fast-paced, exciting work environment.
Our communities are your communities.
If you’re looking for growth, we’ve got you covered.
We provide a quality training program and opportunities for advancement.
No prior locating experience is needed, but experienced locators are encouraged to apply!
Our technicians spend their workdays on the go, independently working in the field using their company-provided vehicle.
We use best-in-class ticket and claims management systems to ensure clear and complete mark-out services for the excavator or property owner at the work site.
Your Responsibilities as a Locator:
* Correctly, safely, and efficiently locate underground utilities, including telecommunications, electric power, cable TV, gas, water, and sewer systems.
* Thoroughly search for underground utilities in a designated area, accurately marking the location, completing the necessary documentation, and photographing each locate.
These are daytime, full-time positions.
We have a 48-hour turnaround time on many locates, which means we generally work the day after holidays and some weekends, as needed.
Must be able to work overtime, weekend shifts, and on-call shifts (including nights and weekends), dependent upon the needs of the business.
Why You'll Love Working for Us (Our Benefits):
* 100% paid training – We're invested in you, starting on your first day.
* High-quality company vehicle & fuel card – All work-related expenses are paid.
This means you won't be putting mileage on your personal vehicle for work.
* Company laptop, phone, & equipment – Advanced technology you can count on.
* DailyPay – Access your pay when you need it.
* Comprehensive insurance options – A variety of excellent insurance choices including medical, dental, vision, and life.
* 401(k) with company match – We’ll help you save for the long term with our competitive 401(k) employer matc...
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Type: Permanent Location: Redmond, US-OR
Salary / Rate: 20
Posted: 2026-04-04 08:05:18
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Emploi : Programmeur Analyste - Télétravail
Le·la programmeur·euse - Analyste, participe activement au développement, à l’évolution et à la maintenance de nos solutions logicielles.
Il analyse les besoins, conçoit des solutions techniques robustes et développe du code conforme aux standards établis.
Responsabilités principales
* Effectuer la programmation de modules et de nouvelles fonctionnalités dans nos solutions logicielles, principalement en VB.Net et C#.
* Concevoir du code clair, structuré et performant, selon les normes de développement établies.
* Participer à l’analyse fonctionnelle et technique des besoins.
* Participer aux rencontres hebdomadaires de suivi (scrum) dans un contexte Agile.
* Collaborer au contrôle de la qualité et effectuer les tests nécessaires pour s’assurer du bon fonctionnement des logiciels.
* Préparer, mettre à jour et maintenir la documentation technique.
* Participer au diagnostic et à la résolution d'incidents ou de problématiques techniques.
* Contribuer à l’amélioration continue des processus, outils et pratiques de développement.
* Assurer la maintenance corrective et évolutive des systèmes existants.
Compétences techniques recherchées
* Maîtrise de VB.Net et C#.
* Solides connaissances en bases de données Microsoft SQL Server.
* Connaissance des environnements Oracle (un atout important).
* Expérience avec les environnements et outils de développement Microsoft.
* Compréhension des concepts d’architecture logicielle et des bonnes pratiques de programmation.
* Capacité à analyser, diagnostiquer et résoudre des problématiques techniques complexes.
Profil recherché
* Rigueur, sens de l’organisation et souci du détail.
* Capacité à travailler autant de façon autonome qu’en équipe.
* Approche orientée solution et attitude proactive.
* Curiosité technologique et volonté de s’améliorer continuellement.
Bien qu’il s’agisse d’un poste principalement en télétravail, vous devrez vous présenter au bureau de Shawinigan à l’occasion.
*Seul les candidats retenus seront contactés
*
Harris souscrit à un programme d’accès à l’égalité en emploi et les candidatures des membres des groupes visés à savoir les femmes, les personnes handicapées, les personnes autochtones et les minorités visibles sont encouragées à soumettre leur candidature.
Si vous êtes une personne handicapée, vous pouvez recevoir, sur demande, de l’assistance pour le processus de présélection et de sélection.
L'équipe de recrutement de talents de Harris n'a pas recours aux messages texte pour entrer en communication avec les candidats ou solliciter des informations confidentielles.
Nous encourageons tous les candidats à postuler sur des postes publiés.
Ils seront contactés soit par un gestionnaire de Harris, soit par un membre de l'équipe de recrutement de talents pour un entretien, dès lors que les critères requis sont satisfaits.
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Type: Permanent Location: Shawinigan, CA-QC
Salary / Rate: 78750
Posted: 2026-04-04 08:05:18
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Embrace the Customer 1st strategy to create an outstanding customer experience through exceptional service.
Establish and maintain a safe and clean environment that encourages our customers to return.
Achieve sales and profit goals established for the department, and monitor and control all established quality assurance standards.
Direct, support and supervise all functions, duties and activities for the Bakery department.
Role model and demonstrate the company's core values of respect, honesty, integrity, diversity, inclusion and safety.Based in Hutchinson, Kansas, Dillons merged with The Kroger Company in 1983.
Today, we're proudly serving Dillons customers in over 60 stores throughout Kansas.
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 Dillons 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
* Effective communication skills
* Knowledge of basic math
* Ability to handle stressful situations
* Current food handlers permit once employed
Desired
* High school education or equivalent
* Management experience
* Bakery experience
* Promote trust and respect among asso...
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Type: Permanent Location: Lawrence, US-KS
Salary / Rate: Not Specified
Posted: 2026-04-04 08:05:17
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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 performance and development efficiency.
- Collaborate cross-functionally to identify opportunities for AI applications and translate business requirements into technical solutions.
- Document system design, model performance, and process workflows to support transparency, reproducibility, and future improvements.
Minimum Requirements
- Bachelor's degree in relevant field of study and 7+ years of relevant professional experience required, or equivalent combination of education and experience.
Job-Specific Minimum Requirements:
- A bach...
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Type: Permanent Location: Milwaukee, US-WI
Salary / Rate: Not Specified
Posted: 2026-04-04 08:05:16
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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 performance and development efficiency.
- Collaborate cross-functionally to identify opportunities for AI applications and translate business requirements into technical solutions.
- Document system design, model performance, and process workflows to support transparency, reproducibility, and future improvements.
Minimum Requirements
- Bachelor's degree in relevant field of study and 7+ years of relevant professional experience required, or equivalent combination of education and experience.
Job-Specific Minimum Requirements:
- A bach...
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Type: Permanent Location: Eau Claire, US-WI
Salary / Rate: Not Specified
Posted: 2026-04-04 08:05:16
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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 performance and development efficiency.
- Collaborate cross-functionally to identify opportunities for AI applications and translate business requirements into technical solutions.
- Document system design, model performance, and process workflows to support transparency, reproducibility, and future improvements.
Minimum Requirements
- Bachelor's degree in relevant field of study and 7+ years of relevant professional experience required, or equivalent combination of education and experience.
Job-Specific Minimum Requirements:
- A bach...
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Type: Permanent Location: Charleston, US-WV
Salary / Rate: Not Specified
Posted: 2026-04-04 08:05:15
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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 performance and development efficiency.
- Collaborate cross-functionally to identify opportunities for AI applications and translate business requirements into technical solutions.
- Document system design, model performance, and process workflows to support transparency, reproducibility, and future improvements.
Minimum Requirements
- Bachelor's degree in relevant field of study and 7+ years of relevant professional experience required, or equivalent combination of education and experience.
Job-Specific Minimum Requirements:
- A bach...
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Type: Permanent Location: Morgantown, US-WV
Salary / Rate: Not Specified
Posted: 2026-04-04 08:05:14
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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 performance and development efficiency.
- Collaborate cross-functionally to identify opportunities for AI applications and translate business requirements into technical solutions.
- Document system design, model performance, and process workflows to support transparency, reproducibility, and future improvements.
Minimum Requirements
- Bachelor's degree in relevant field of study and 7+ years of relevant professional experience required, or equivalent combination of education and experience.
Job-Specific Minimum Requirements:
- A bach...
....Read more...
Type: Permanent Location: Cheyenne, US-WY
Salary / Rate: Not Specified
Posted: 2026-04-04 08:05:14
-
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 performance and development efficiency.
- Collaborate cross-functionally to identify opportunities for AI applications and translate business requirements into technical solutions.
- Document system design, model performance, and process workflows to support transparency, reproducibility, and future improvements.
Minimum Requirements
- Bachelor's degree in relevant field of study and 7+ years of relevant professional experience required, or equivalent combination of education and experience.
Job-Specific Minimum Requirements:
- A bach...
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Type: Permanent Location: Tysons, US-VA
Salary / Rate: Not Specified
Posted: 2026-04-04 08:05:13
-
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 performance and development efficiency.
- Collaborate cross-functionally to identify opportunities for AI applications and translate business requirements into technical solutions.
- Document system design, model performance, and process workflows to support transparency, reproducibility, and future improvements.
Minimum Requirements
- Bachelor's degree in relevant field of study and 7+ years of relevant professional experience required, or equivalent combination of education and experience.
Job-Specific Minimum Requirements:
- A bach...
....Read more...
Type: Permanent Location: Rock Springs, US-WY
Salary / Rate: Not Specified
Posted: 2026-04-04 08:05:13
-
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 performance and development efficiency.
- Collaborate cross-functionally to identify opportunities for AI applications and translate business requirements into technical solutions.
- Document system design, model performance, and process workflows to support transparency, reproducibility, and future improvements.
Minimum Requirements
- Bachelor's degree in relevant field of study and 7+ years of relevant professional experience required, or equivalent combination of education and experience.
Job-Specific Minimum Requirements:
- A bach...
....Read more...
Type: Permanent Location: Richmond, US-VA
Salary / Rate: Not Specified
Posted: 2026-04-04 08:05:12
-
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 performance and development efficiency.
- Collaborate cross-functionally to identify opportunities for AI applications and translate business requirements into technical solutions.
- Document system design, model performance, and process workflows to support transparency, reproducibility, and future improvements.
Minimum Requirements
- Bachelor's degree in relevant field of study and 7+ years of relevant professional experience required, or equivalent combination of education and experience.
Job-Specific Minimum Requirements:
- A bach...
....Read more...
Type: Permanent Location: Bennington, US-VT
Salary / Rate: Not Specified
Posted: 2026-04-04 08:05:11
-
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 performance and development efficiency.
- Collaborate cross-functionally to identify opportunities for AI applications and translate business requirements into technical solutions.
- Document system design, model performance, and process workflows to support transparency, reproducibility, and future improvements.
Minimum Requirements
- Bachelor's degree in relevant field of study and 7+ years of relevant professional experience required, or equivalent combination of education and experience.
Job-Specific Minimum Requirements:
- A bach...
....Read more...
Type: Permanent Location: Spokane, US-WA
Salary / Rate: Not Specified
Posted: 2026-04-04 08:05:11
-
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 performance and development efficiency.
- Collaborate cross-functionally to identify opportunities for AI applications and translate business requirements into technical solutions.
- Document system design, model performance, and process workflows to support transparency, reproducibility, and future improvements.
Minimum Requirements
- Bachelor's degree in relevant field of study and 7+ years of relevant professional experience required, or equivalent combination of education and experience.
Job-Specific Minimum Requirements:
- A bach...
....Read more...
Type: Permanent Location: Roanoke, US-VA
Salary / Rate: Not Specified
Posted: 2026-04-04 08:05:10
-
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 performance and development efficiency.
- Collaborate cross-functionally to identify opportunities for AI applications and translate business requirements into technical solutions.
- Document system design, model performance, and process workflows to support transparency, reproducibility, and future improvements.
Minimum Requirements
- Bachelor's degree in relevant field of study and 7+ years of relevant professional experience required, or equivalent combination of education and experience.
Job-Specific Minimum Requirements:
- A bach...
....Read more...
Type: Permanent Location: Seattle, US-WA
Salary / Rate: Not Specified
Posted: 2026-04-04 08:05:10
-
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 performance and development efficiency.
- Collaborate cross-functionally to identify opportunities for AI applications and translate business requirements into technical solutions.
- Document system design, model performance, and process workflows to support transparency, reproducibility, and future improvements.
Minimum Requirements
- Bachelor's degree in relevant field of study and 7+ years of relevant professional experience required, or equivalent combination of education and experience.
Job-Specific Minimum Requirements:
- A bach...
....Read more...
Type: Permanent Location: Dallas, US-TX
Salary / Rate: Not Specified
Posted: 2026-04-04 08:05:09
-
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 performance and development efficiency.
- Collaborate cross-functionally to identify opportunities for AI applications and translate business requirements into technical solutions.
- Document system design, model performance, and process workflows to support transparency, reproducibility, and future improvements.
Minimum Requirements
- Bachelor's degree in relevant field of study and 7+ years of relevant professional experience required, or equivalent combination of education and experience.
Job-Specific Minimum Requirements:
- A bach...
....Read more...
Type: Permanent Location: Lubbock, US-TX
Salary / Rate: Not Specified
Posted: 2026-04-04 08:05:08
-
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 performance and development efficiency.
- Collaborate cross-functionally to identify opportunities for AI applications and translate business requirements into technical solutions.
- Document system design, model performance, and process workflows to support transparency, reproducibility, and future improvements.
Minimum Requirements
- Bachelor's degree in relevant field of study and 7+ years of relevant professional experience required, or equivalent combination of education and experience.
Job-Specific Minimum Requirements:
- A bach...
....Read more...
Type: Permanent Location: St. George, US-UT
Salary / Rate: Not Specified
Posted: 2026-04-04 08:05:08
-
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 performance and development efficiency.
- Collaborate cross-functionally to identify opportunities for AI applications and translate business requirements into technical solutions.
- Document system design, model performance, and process workflows to support transparency, reproducibility, and future improvements.
Minimum Requirements
- Bachelor's degree in relevant field of study and 7+ years of relevant professional experience required, or equivalent combination of education and experience.
Job-Specific Minimum Requirements:
- A bach...
....Read more...
Type: Permanent Location: Salt Lake City, US-UT
Salary / Rate: Not Specified
Posted: 2026-04-04 08:05:07
-
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 performance and development efficiency.
- Collaborate cross-functionally to identify opportunities for AI applications and translate business requirements into technical solutions.
- Document system design, model performance, and process workflows to support transparency, reproducibility, and future improvements.
Minimum Requirements
- Bachelor's degree in relevant field of study and 7+ years of relevant professional experience required, or equivalent combination of education and experience.
Job-Specific Minimum Requirements:
- A bach...
....Read more...
Type: Permanent Location: Burlington, US-VT
Salary / Rate: Not Specified
Posted: 2026-04-04 08:05:06
-
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 performance and development efficiency.
- Collaborate cross-functionally to identify opportunities for AI applications and translate business requirements into technical solutions.
- Document system design, model performance, and process workflows to support transparency, reproducibility, and future improvements.
Minimum Requirements
- Bachelor's degree in relevant field of study and 7+ years of relevant professional experience required, or equivalent combination of education and experience.
Job-Specific Minimum Requirements:
- A bach...
....Read more...
Type: Permanent Location: San Antonio, US-TX
Salary / Rate: Not Specified
Posted: 2026-04-04 08:05:06
-
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 performance and development efficiency.
- Collaborate cross-functionally to identify opportunities for AI applications and translate business requirements into technical solutions.
- Document system design, model performance, and process workflows to support transparency, reproducibility, and future improvements.
Minimum Requirements
- Bachelor's degree in relevant field of study and 7+ years of relevant professional experience required, or equivalent combination of education and experience.
Job-Specific Minimum Requirements:
- A bach...
....Read more...
Type: Permanent Location: Memphis, US-TN
Salary / Rate: Not Specified
Posted: 2026-04-04 08:05:05
-
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 performance and development efficiency.
- Collaborate cross-functionally to identify opportunities for AI applications and translate business requirements into technical solutions.
- Document system design, model performance, and process workflows to support transparency, reproducibility, and future improvements.
Minimum Requirements
- Bachelor's degree in relevant field of study and 7+ years of relevant professional experience required, or equivalent combination of education and experience.
Job-Specific Minimum Requirements:
- A bach...
....Read more...
Type: Permanent Location: Nashville, US-TN
Salary / Rate: Not Specified
Posted: 2026-04-04 08:05:05
-
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 performance and development efficiency.
- Collaborate cross-functionally to identify opportunities for AI applications and translate business requirements into technical solutions.
- Document system design, model performance, and process workflows to support transparency, reproducibility, and future improvements.
Minimum Requirements
- Bachelor's degree in relevant field of study and 7+ years of relevant professional experience required, or equivalent combination of education and experience.
Job-Specific Minimum Requirements:
- A bach...
....Read more...
Type: Permanent Location: Sioux Falls, US-SD
Salary / Rate: Not Specified
Posted: 2026-04-04 08:05:04
-
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 performance and development efficiency.
- Collaborate cross-functionally to identify opportunities for AI applications and translate business requirements into technical solutions.
- Document system design, model performance, and process workflows to support transparency, reproducibility, and future improvements.
Minimum Requirements
- Bachelor's degree in relevant field of study and 7+ years of relevant professional experience required, or equivalent combination of education and experience.
Job-Specific Minimum Requirements:
- A bach...
....Read more...
Type: Permanent Location: Columbia, US-SC
Salary / Rate: Not Specified
Posted: 2026-04-04 08:05:03
