28,608 Senior AI jobs in the United States

About Client:
The client provides information technology (IT) services, including business outsourcing, infrastructure technology, and application services. The application service offered by the company includes application development, maintenance, and support. The markets served by the company are financial services and insurance, healthcare, manufacturing, government, transportation, communications, and consumer and retail industries.

Rate Range: $60-$65/Hr

Job Description:

• We are looking for a highly skilled Data Scientist with strong Python development expertise and hands-on experience in Generative AI.
• The ideal candidate will have a solid background in data science, machine learning, and deep learning techniques with proven experience in building and deploying Gen AI models.
• This role demands a mix of research-oriented thinking and practical engineering skills to develop cutting-edge AI solutions.

Key Responsibilities:

• Design, develop, and deploy advanced machine learning and Generative AI models.
• Leverage Python to build scalable data pipelines and AI/ML frameworks.
• Apply NLP, LLMs, transformers, and deep learning techniques to real-world problems.
• Analyze large datasets to extract actionable insights and drive decision-making.
• Collaborate with data engineers, product managers, and other stakeholders on AI-driven projects.
• Stay updated with the latest advancements in AI, Gen AI, and ML research.
• Strong Python developer
• Must have hands on Gen AI

About ApTask:
ApTask is a leading global provider of workforce solutions and talent acquisition services, dedicated to shaping the future of work. As an African American-owned and Veteran-certified company, ApTask offers a comprehensive suite of services, including staffing and recruitment solutions, managed services, IT consulting, and project management. With a focus on excellence, collaboration, and innovation, ApTask provides unparalleled opportunities for professional growth and development. As a member of the ApTask team, you will have the chance to connect businesses with top-tier professionals, optimize workforce performance, and drive success across diverse industries. Join us at ApTask and be part of our mission to empower organizations to thrive while fostering a diverse and inclusive work environment.

Applicants may be required to attend interviews in person or by video conference. In addition, candidates may be required to present their current state or government issued ID during each interview.

Candidate Data Collection Disclaimer:
At ApTask, we prioritize safeguarding your privacy. As part of our recruitment process, certain Personally Identifiable Information (PII) may be requested by our clients for verification and application purposes. Rest assured, we strictly adhere to confidentiality standards and comply with all relevant data protection laws. Please note that we only collect the necessary information as specified by each client and do not request sensitive details during the initial stages of recruitment.

If you have any concerns or queries about your personal information, please feel free to contact our compliance team at .

Applicant Consent:
By submitting your application, you agree to ApTask's ( Terms of Use and Privacy Policy , and provide your consent to receive SMS and voice call communications regarding employment opportunities that match your resume and qualifications. You understand that your personal information will be used solely for recruitment purposes and that you can withdraw your consent at any time by contacting us at or Message frequency may vary. Msg & data rates may apply.

About ApTask:
ApTask is a leading global provider of workforce solutions and talent acquisition services, dedicated to shaping the future of work. As an African American-owned and Veteran-owned company, ApTask offers a comprehensive suite of services, including staffing and recruitment solutions, managed services, IT consulting, and project management. With a focus on excellence, collaboration, and innovation, ApTask provides unparalleled opportunities for professional growth and development. As a member of the ApTask team, you will have the chance to connect businesses with top-tier professionals, optimize workforce performance, and drive success across diverse industries. Join us at ApTask and be part of our mission to empower organizations to thrive while fostering a diverse and inclusive work environment.

Applicants may be required to attend interviews in person or by video conference. In addition, candidates may be required to present their current state or government issued ID during each interview.

Candidate Data Collection Disclaimer:
At ApTask, we prioritize safeguarding your privacy. As part of our recruitment process, certain Personally Identifiable Information (PII) may be requested by our clients for verification and application purposes. Rest assured, we strictly adhere to confidentiality standards and comply with all relevant data protection laws. Please note that we only collect the necessary information as specified by each client and do not request sensitive details during the initial stages of recruitment.

If you have any concerns or queries about your personal information, please feel free to contact our compliance team at

Applicant Consent:
By submitting your application, you agree to ApTask's ( Terms of Use and Privacy Policy, and provide your consent to receive SMS and voice call communications regarding employment opportunities that match your resume and qualifications. You understand that your personal information will be used solely for recruitment purposes and that you can withdraw your consent at any time by contacting us at or Message frequency may vary. Msg & data rates may apply.

Job Description
McBride has an exciting opportunity to support Allied Command Transformation (ACT) which is NATO's leading agent for change: driving, facilitating, and advocating the continuous improvement of Alliance capabilities to maintain and enhance the military relevance and effectiveness of the Alliance. The main objectives of ACT are: providing appropriate support to NATO missions and operations; leading NATO military transformation; improving relationships, interaction and practical cooperation with partners, nations and international organizations. ACT therefore leads Alliance concept development, capability development, training and lessons learned initiatives and provides unfettered military support to policy development within NATO.

You will be responsible for the following:

• Contribute to the development and implementation of an enabling data science and AI capability at HQ SACT and across the NATO Enterprise, with a specific focus on scalable data engineering and software systems to support AI initiatives.
• Design, develop, and maintain robust data pipelines and architectures to manage the ingestion, transformation, and processing of structured and unstructured data for large Language Model (LLM)-based applications and other AI systems.
• Lead efforts to optimize data delivery and automate data engineering processes, proposing enhancements to infrastructure to improve scalability, efficiency, and reliability in support of LLM deployments.
• Build API-based infrastructure and frameworks that enable seamless integration of LLMs and ML models with operational systems, ensuring performance, security, and interoperability with NATO environments.
• Support the development, testing, and validation of microservices and containerized applications to operationalize AI/ML capabilities, including deployment of LLM use cases within NATO.
• Implement distributed data storage and processing systems (e.g., cloud-based or hybrid architectures) that align with NATO standards and enable scalable use of LLMs across the enterprise.
• Develop tools and systems to improve data accessibility, enabling data scientists and analysts to efficiently interact with and query data for training, inference, and analytics.
• Coordinate with data scientists, software engineers, and system architects to align data engineering workflows with broader AI/ML objectives, ensuring timely delivery of clean, high-quality data for LLM training and inference.
• Establish mechanisms for real-time data processing and streaming, enabling LLMs to operate effectively in dynamic and responsive applications, such as operational decision support or strategic analysis.
• Conduct preprocessing, cleansing, and transformation of raw data into formats optimized for training, fine-tuning, and inference within LLM infrastructure.
• Implement robust monitoring, logging, and performance optimization tools for data pipelines and APIs, ensuring reliability and traceability of LLM-enabled workflows.
• Collaborate with teams to support federated learning approaches and cross-domain data sharing, ensuring compliance with NATO data sovereignty, security, and ethical guidelines.
• Provide subject matter expertise on data engineering and software development to (military and civilian) staff within HQ SACT or the NATO Enterprise, and develop proofs of concept for LLM-based applications as directed.
• Research, recommend, and implement best practices for deploying LLMs in secure, cloud-based environments such as Microsoft Azure or AWS, while considering NATO- specific data policies and standards.
• Evaluate operational requirements and objectives, recommending appropriate engineering solutions for integrating LLMs into NATO workflows and systems.
• Stay abreast of new developments in AI engineering, including innovations in LLM technologies, data architectures, distributed computing, and API development, to bring cutting-edge capabilities into implementation within NATO.
• Provide technical training and mentoring to NATO staff, supporting educational efforts in AI engineering, data pipeline design, API development, and digital literacy.
• Foster a culture of innovation and data-driven decision-making across NATO by building scalable systems that enable the effective exploitation of LLMs and advanced analytics.
• Perform additional tasks as required by the Contracting Officer's Technical Representative (COTR) related to the LABOR category.

Requirements

Desired Qualifications:

• Experience leveraging open-source frameworks and publicly available datasets to develop innovative AI and data engineering solutions for operational or analytical use cases.
• Proficiency in presenting data-driven insights clearly to non-technical audiences, showcasing an ability to craft compelling narratives and actionable recommendations for senior leadership.
• Understanding of military staff workflows and processes, alongside familiarity with federated learning techniques for enabling secure collaboration across NATO nations while preserving sovereignty of sensitive datasets.
• Exposure to agile project management methods and tools (e.g., Loop, JIRA, Trello) for coordinating and tracking progress across multi-disciplinary AI/ML projects.
• Exposure to cross-domain data sharing and API-driven interoperability, ensuring effective integration across systems while adhering to security and ethical guidelines within military or international environments.
• Familiarity with principles of ethical AI development, including considerations for bias mitigation, responsible data handling, and alignment with NATO's ethical frameworks for AI deployment.

Mandatory Qualifications:

• Minimum 4 years of proven work experience as a Data Scientist, Machine Learning Engineer, Data Engineer, or Software Engineer, with a strong emphasis on distributed systems, cloud- based architectures, developing operational AI/ML solutions, and designing API-based infrastructures, microservices architectures, and containerized applications (e.g., Docker, Kubernetes).
• Demonstrated experience working with GenAI , in particular LLMs, including preprocessing data, fine-tuning, and deployment in secure and scalable environments to include AI/ML frameworks such as TensorFlow, PyTorch , or scikit-learn.
• Proven expertise in programming languages such as Python, Java, or Scala, with demonstrated experience in software engineering practices (e.g., version control, CI/CD pipelines, containerization).
• Experience building and optimizing data pipelines, ETL processes, and real-time streaming solutions using tools like Apache Airflow, Kafka, Spark, or equivalent.
• Knowledge of applied AI principles, particularly in implementing AI systems for operational decision support and analyzing unstructured data (e.g., text, imagery).
• Ability to architect and maintain scalable data lakes, data warehouses, or distributed storage systems (e.g., Delta Lake, Snowflake, Hadoop, or NoSQL solutions).
• Demonstrated understanding of data security, privacy, and sovereignty issues, particularly in military or international environments, ensuring compliance with NATO operational and ethical standards.
• Experience building visually impactful reports, dashboards, and analytics using tools such as Tableau, MS Power BI, or Kibana, supporting informed decision-making for high-level stakeholders.
• Professional experience in NATO environments or familiarity with NATO processes, organizational culture, and decision-making structures.
• Ability to translate operational problems into practical AI/ML solutions tailored for military and civilian teams.
• Proven ability to collaborate effectively within multidisciplinary teams, including coordinating with data scientists, software engineers, and system architects on cross-functional projects.
• Strong oral and written communication skills, with the ability to brief non-technical audiences and mentor staff in AI engineering, data science, and software development concepts.

Cargill's size and scale allows us to make a positive impact in the world. Our purpose is to nourish the world in a safe, responsible and sustainable way. We are a family company providing food, ingredients, agricultural solutions and industrial products that are vital for living. We connect farmers with markets so they can prosper. We connect customers with ingredients so they can make meals people love. And we connect families with daily essentials - from eggs to edible oils, salt to skincare, feed to alternative fuel. Our 160,000 colleagues, operating in 70 countries, make essential products that touch billions of lives each day. Join us and reach your higher purpose at Cargill.

Job Purpose and Impact

• The Advisor, AI & Data Science job provides thought leadership in the development and implementation of artificial intelligence solutions that drive strategic decision making. As a recognized subject matter expert in the field, this job partners to develop the organization's artificial intelligence strategy, leads implementation of related platforms and products to drive business value and encourages a culture of compliance to governance framework. This job finds opportunities to improve processes and leads efforts to ensure quality of the outcomes and measurable business impact.

Key Accountabilities

• Technical Strategy & Architecture: 
     -Define multi-year AI Ops roadmap covering model experimentation, HPC scheduling, inference serving, and data lineage.
     -Evaluate and integrate best-fit OSS/commercial tooling
• Platform Engineering & Operations
    -Build and maintain CI/CD pipelines for model training (GPU/CPU), feature engineering, and automated testing across cloud and HPC clusters.
     -Implement scalable vector databases and caching layers to support low-latency GenAI workloads.
     -Tune scheduler policies for optimal occupancy and cost.
     -Monitor system performance, investigate escalations, and lead post-incident reviews.
• Governance & Compliance
     -Champion data-privacy, model-risk-management, and export-control requirements; embed policy checks into pipelines.
     -Deliver audit-ready documentation for SOC-2, ISO 27001, and sector-specific regulations (e.g., food safety, trade compliance).
• Leadership & Mentoring
     -Coach senior engineers and data scientists on scalable MLOps/HPC patterns.
     -Lead AI Platform Design Reviews and contribute to internal communities of practice.

Qualifications

• Minimum requirement: 6 years relevant experience.

• Typical requirement: 10 + years in software/data engineering with at least 4 years running production ML or HPC workloads and 2 + years in GenAI/LLMOps. Experience leading cross-functional engineering teams preferred.

#LI-AB4
#FGB
#TheMuse

Equal Opportunity Employer, including Disability/Vet.

Cargill’s size and scale allows us to make a positive impact in the world. Our purpose is to nourish the world in a safe, responsible and sustainable way. We are a family company providing food, ingredients, agricultural solutions and industrial products that are vital for living. We connect farmers with markets so they can prosper. We connect customers with ingredients so they can make meals people love. And we connect families with daily essentials — from eggs to edible oils, salt to skincare, feed to alternative fuel. Our 160,000 colleagues, operating in 70 countries, make essential products that touch billions of lives each day. Join us and reach your higher purpose at Cargill.

Job Purpose and Impact

• The Advisor, AI & Data Science job provides thought leadership in the development and implementation of artificial intelligence solutions that drive strategic decision making. As a recognized subject matter expert in the field, this job partners to develop the organization's artificial intelligence strategy, leads implementation of related platforms and products to drive business value and encourages a culture of compliance to governance framework. This job finds opportunities to improve processes and leads efforts to ensure quality of the outcomes and measurable business impact.

Key Accountabilities

• Technical Strategy & Architecture: -Define multi-year AI Ops roadmap covering model experimentation, HPC scheduling, inference serving, and data lineage. -Evaluate and integrate best-fit OSS/commercial tooling

• Platform Engineering & Operations -Build and maintain CI/CD pipelines for model training (GPU/CPU), feature engineering, and automated testing across cloud and HPC clusters. -Implement scalable vector databases and caching layers to support low-latency GenAI workloads. -Tune scheduler policies for optimal occupancy and cost. -Monitor system performance, investigate escalations, and lead post-incident reviews.

• Governance & Compliance -Champion data-privacy, model-risk-management, and export-control requirements; embed policy checks into pipelines. -Deliver audit-ready documentation for SOC-2, ISO 27001, and sector-specific regulations (e.g., food safety, trade compliance).

• Leadership & Mentoring -Coach senior engineers and data scientists on scalable MLOps/HPC patterns. -Lead AI Platform Design Reviews and contribute to internal communities of practice.

Qualifications

• Minimum requirement: 6 years relevant experience.

• Typical requirement: 10 + years in software/data engineering with at least 4 years running production ML or HPC workloads and 2 + years in GenAI/LLMOps. Experience leading cross-functional engineering teams preferred.

#LI-AB4

#FGB

#TheMuse

Equal Opportunity Employer, including Disability/Vet.

Itron is innovating new ways for utilities and cities to manage energy and water. We create a more resourceful world to protect essential resources for today and tomorrow. Join us.

The AI Data Science Analyst within the HR AI Enablement & Strategy team will support the building, design, testing, and deployment of AI-driven solutions across HR functions, with a focus on automation and intelligent agents. This role will help translate HR data into actionable insights, assist in training and evaluating AI agents, and partner with cross-functional teams to ensure data integrity and ethical AI use.

Duties & Responsibilities:

• Support building, design, testing, and deployment of AI-agent driven HR solutions
• Focus on automation and intelligent agents
• Translate HR data into insights and assist in AI agent training/evaluation

Required Skills & Experience:

• Bachelor's degree or higher in Data Science, Computer Science, Statistics, Mathematics, Information Systems, or a related field
• Strong Python or R skills, experience with data visualization tools (e.g., Power BI, Tableau)

• Foundational understanding of data science concepts like machine learning and natural language processing
• Familiarity with cloud platforms (e.g., Azure, AWS, Google Cloud) for AI/ML deployment
• Curiosity, adaptability, and a desire to grow into AI product development are key
• Project management capabilities

Preferred Skills & Experience:

• Advanced degrees (Master's or PhD) in relevant disciplines are a plus
• Microsoft certifications in AI, data analytics, or cloud platforms (e.g., Azure AI Engineer Associate, Power BI Data Analyst Associate) or equivalent certifications.

Travel : 0-10%

Benefits Info:

This position also includes a competitive benefit package including; financial, social, health and wellbeing programs, paid vacation, 401k matching, employee stock purchase program, hybrid work schedule, and more!

#LI-MD1

Itron is committed to building an inclusive and diverse workforce and providing an authentic workplace experience for all employees. If you are excited about this role but your past experiences don't perfectly align with every requirement, we encourage you to apply anyway. In the end, you may be just who we are looking for!

The successful candidate's starting wage will be determined based on permissible, non-discriminatory factors such as skills and experience.

Itron is proud to be an Equal Opportunity Employer. If you require an accommodation to apply, please contact a recruiting representative at or email

Itron is transforming how the world manages energy, water and city services. Our trusted intelligent infrastructure solutions help utilities and cities improve efficiency, build resilience and deliver safe, reliable and affordable service. With edge intelligence, we connect people, data insights and devices so communities can better manage the essential resources they rely on to live. Join us as we create a more resourceful world:

Role Description: We wanted to onboard a Sr. Engineer with Gen AI/Data Science and AWS skills on staff augmentation basis to our team to help support some Gen AI initiatives kickstarting this year (mostly POC) and continuing next year (depending on funding) . So this is not a temporary allocation but could be extended through next year as well.• Experience with AWS services (ECS, Lambda, SQS, RDS, CloudWatch etc.) is required• AI : Experience with Gen AI solutions, AWS Bedrock, Sagemaker, GitHub Copilot/Amazon Q is required Competencies: Digital : Amazon Web Service(AWS) Cloud Computing, Design for GenAI Experience (Years): 10 & Above Essential Skills: • Experience with AWS services (ECS, Lambda, SQS, RDS, CloudWatch etc.) is required• AI : Experience with Gen AI solutions, AWS Bedrock, Sagemaker, GitHub Copilot/Amazon Q is required Desirable Skills: Gen AI/Data Science and AWS skills on staff augmentation basis to our team to help support some Gen AI initiatives

Diverse Lynx LLC is an Equal Employment Opportunity employer. All qualified applicants will receive due consideration for employment without any discrimination. All applicants will be evaluated solely on the basis of their ability, competence and their proven capability to perform the functions outlined in the corresponding role. We promote and support a diverse workforce across all levels in the company.

**Manager AI & Data Science**
Description for Internal Candidates
The AI and Data Science Manager will lead a cross-functional team of data scientists, machine learning engineers, and AI specialists to develop and deploy scalable AI/ML solutions that drive business value across the enterprise. This role requires a strategic thinker with hands-on technical expertise and a strong ability to translate business challenges into data-driven solutions.
**onsemi** (Nasdaq: ON) is driving disruptive innovations to help build a better future. With a focus on automotive and industrial end-markets, the company is accelerating change in megatrends such as vehicle electrification and safety, sustainable energy grids, industrial automation, and 5G and cloud infrastructure. With a highly differentiated and innovative product portfolio, onsemi creates intelligent power and sensing technologies that solve the world's most complex challenges and leads the way in creating a safer, cleaner, and smarter world.
**More details about our company benefits can be found here:**
are committed to sourcing, attracting, and hiring high-performance innovators, while providing all candidates a positive recruitment experience that builds our brand as a great place to work.
**onsemi** is an Equal Opportunity and Affirmative Action employer. The Company maintains policies and practices that are designed to prevent discrimination or harassment against any qualified applicant or employee to the extent prohibited by federal, state and local laws and regulations. By way of example, discrimination on the basis of race (actual or perceived), ethnicity, color, religion, ancestry, national origin, citizenship, sex, age, marital status, sexual orientation, physical or mental disability, medical condition, genetic information, military or veteran status, gender identity, gender expression, or any other characteristic protected by applicable law is prohibited.
If you are an individual with a disability and require a reasonable accommodation to complete any part of the application process, or are limited in the ability or unable to access or use this online application process and need an alternative method for applying, you may contact for assistance.

Spektrum have a wide range of exciting opportunities in several global locations.

We are always looking to add great new talent to our team and look forward to hearing from you.

Spektrum supports apex purchasers (NATO, UN, EU and National Government and Defence) and their Tier 1 supplier ecosystem with a wide range of specialist services. We provide our clients with professional services, specialised aerospace and defence sales, delivery, and operational subject matter expertise. We are looking for personnel to join our team and support key client projects.

Who we are supporting

Allied Command Transformation (ACT) is NATO's leading agent for change: driving, facilitating, and advocating the continuous improvement of Alliance capabilities to maintain and enhance the military relevance and effectiveness of the Alliance. The main objectives of ACT are: providing appropriate support to NATO missions and operations; leading NATO military transformation; and improving relationships, interaction and practical cooperation with partners, nations and international organisations. ACT therefore leads Alliance concept development, capability development, training and lessons-learned initiatives and provides unfettered military support to policy development within NATO.

The program

Capability Development & Management Support (CDMS)

DCOS Capability Development (CAPDEV) acts as the Supreme Allied Commander Transformation's Director for guidance, direction and coordination of the activities and resources of the Capability Development Directorate.

The Requirements Division will execute all tasks and activities needed to support requirements management for NATO capabilities

The Capability Requirements (CR) Branch will develop the Capability Requirements Brief and recommended courses of action to resolve issues through the life cycle management of requirements using matrixed, cross-functional project-specific Requirements Management teams.

The Requirements Forward Branch (Mons) is responsible for conducting requirements development and management representation and engagement-related functions in Europe.

The Capability Division coordinates the development of capabilities from capability planning through acceptance and then disposal with management entities, NATO Headquarters staff and the NATO Governance Structure

The Capability Forward Branch (Mons) coordinates with ACO, NCIA, NSPA, NATO HQ, territorial Host Nations, and NATO Centres of Excellence (COEs) to support the development of capabilities.

Strategic Plans and Policy (SPP) supports Allied Command Transformation in formalizing military advice to shape future military strategy, political guidance, and other policy documents supporting NATO's strategic objectives.

Role Duties and Responsibilities

• Contribute to the development and implementation of an enabling data science and AI capability at HQ SACT and across the NATO Enterprise, with a specific focus on scalable data engineering and software systems to support AI initiatives.
• Design, develop, and maintain robust data pipelines and architectures to manage the ingestion, transformation, and processing of structured and unstructured data for large Language Model (LLM)-based applications and other AI systems.
• Lead efforts to optimize data delivery and automate data engineering processes, proposing enhancements to infrastructure to improve scalability, efficiency, and reliability in support of LLM deployments.
• Build API-based infrastructure and frameworks that enable seamless integration of LLMs and ML models with operational systems, ensuring performance, security, and interoperability with NATO environments.
• Support the development, testing, and validation of microservices and containerized applications to operationalize AI/ML capabilities, including deployment of LLM use cases within NATO.
• Implement distributed data storage and processing systems (e.g., cloud-based or hybrid architectures) that align with NATO standards and enable scalable use of LLMs across the enterprise.
• Develop tools and systems to improve data accessibility, enabling data scientists and analysts to efficiently interact with and query data for training, inference, and analytics.
• Coordinate with data scientists, software engineers, and system architects to align data engineering workflows with broader AI/ML objectives, ensuring timely delivery of clean, high-quality data for LLM training and inference.
• Establish mechanisms for real-time data processing and streaming, enabling LLMs to operate effectively in dynamic and responsive applications, such as operational decision support or strategic analysis.
• Conduct preprocessing, cleansing, and transformation of raw data into formats optimized for training, fine-tuning, and inference within LLM infrastructure.
• Implement robust monitoring, logging, and performance optimization tools for data pipelines and APIs, ensuring reliability and traceability of LLM-enabled workflows.
• Collaborate with teams to support federated learning approaches and cross-domain data sharing, ensuring compliance with NATO data sovereignty, security, and ethical guidelines.
• Provide subject matter expertise on data engineering and software development to (military and civilian) staff within HQ SACT or the NATO Enterprise, and develop proofs of concept for LLM-based applications as directed.
• Research, recommend, and implement best practices for deploying LLMs in secure, cloud-based environments such as Microsoft Azure or AWS, while considering NATO-specific data policies and standards.
• Evaluate operational requirements and objectives, recommending appropriate engineering solutions for integrating LLMs into NATO workflows and systems.
• Stay abreast of new developments in AI engineering, including innovations in LLM technologies, data architectures, distributed computing, and API development, to bring cutting-edge capabilities into implementation within NATO.
• Provide technical training and mentoring to NATO staff, supporting educational efforts in AI engineering, data pipeline design, API development, and digital literacy.
• Foster a culture of innovation and data-driven decision-making across NATO by building scalable systems that enable the effective exploitation of LLMs and advanced analytics.
• Perform additional tasks as required by the Contracting Officer's Technical Representative (COTR) related to the LABOR category.

Essential Skills and Experience

• Minimum 4 years of proven work experience as a Data Scientist, Machine Learning Engineer, Data Engineer, or Software Engineer, with a strong emphasis on distributed systems, cloud-based architectures, developing operational AI/ML solutions, and designing API-based infrastructures, microservices architectures, and containerized applications (e.g., Docker, Kubernetes).
• Demonstrated experience working with GenAI, in particular LLMs, including preprocessing data, fine-tuning, and deployment in secure and scalable environments to include AI/ML frameworks such as TensorFlow, PyTorch, or scikit-learn.
• Proven expertise in programming languages such as Python, Java, or Scala, with demonstrated experience in software engineering practices (e.g., version control, CI/CD pipelines, containerization).
• Experience building and optimizing data pipelines, ETL processes, and real-time streaming solutions using tools like Apache Airflow, Kafka, Spark, or equivalent.
• Knowledge of applied AI principles, particularly in implementing AI systems for operational decision support and analyzing unstructured data (e.g., text, imagery).
• Ability to architect and maintain scalable data lakes, data warehouses, or distributed storage systems (e.g., Delta Lake, Snowflake, Hadoop, or NoSQL solutions).
• Demonstrated understanding of data security, privacy, and sovereignty issues, particularly in military or international environments, ensuring compliance with NATO operational and ethical standards.
• Experience building visually impactful reports, dashboards, and analytics using tools such as Tableau, MS Power BI, or Kibana, supporting informed decision-making for high-level stakeholders.
• Professional experience in NATO environments or familiarity with NATO processes, organizational culture, and decision-making structures.
• Ability to translate operational problems into practical AI/ML solutions tailored for military and civilian teams.
• Proven ability to collaborate effectively within multidisciplinary teams, including coordinating with data scientists, software engineers, and system architects on cross-functional projects.
• Strong oral and written communication skills, with the ability to brief non-technical audiences and mentor staff in AI engineering, data science, and software development concepts.

Desirable Qualifications

• Experience leveraging open-source frameworks and publicly available datasets to develop innovative AI and data engineering solutions for operational or analytical use cases.
• Proficiency in presenting data-driven insights clearly to non-technical audiences, showcasing an ability to craft compelling narratives and actionable recommendations for senior leadership.
• Understanding of military staff workflows and processes, alongside familiarity with federated learning techniques for enabling secure collaboration across NATO nations while preserving sovereignty of sensitive datasets.
• Exposure to agile project management methods and tools (e.g., Loop, JIRA, Trello) for coordinating and tracking progress across multi-disciplinary AI/ML projects.
• Eligibility for NATO security clearance and prior experience working with classified or sensitive data, including understanding security protocols for processing, handling, and securing such data.
• Exposure to cross-domain data sharing and API-driven interoperability, ensuring effective integration across systems while adhering to security and ethical guidelines within military or international environments.
• Familiarity with principles of ethical AI development, including considerations for bias mitigation, responsible data handling, and alignment with NATO's ethical frameworks for AI deployment.

Education

• A Bachelor's degree or higher at a nationally recognized/certified university in Data Science, Data Analytics, AI engineering, or a related discipline such as Mathematics, Physics, Computer Science, Software Engineering OR 4 years minimum professional experience in the area of Data Science, including providing analysis and advice in the field of data science, within the last 5 years.

Language Proficiency

• Advanced Proficiency in English

Working Location

• Norfolk, VA, USA

Working Policy

• On-Site

Contract Duration

• January 2026 - December 2030

Security Clearance

• Valid National or NATO Secret personal security clearance

We never know what new opportunities might be just over the horizon. If this opportunity isn't for you please feel free to send us your resume anyway and be the first to know if something suitable for your skills and experience comes up.

Cargill's size and scale allows us to make a positive impact in the world. Our purpose is to nourish the world in a safe, responsible and sustainable way. We are a family company providing food, ingredients, agricultural solutions and industrial products that are vital for living. We connect farmers with markets so they can prosper. We connect customers with ingredients so they can make meals people love. And we connect families with daily essentials - from eggs to edible oils, salt to skincare, feed to alternative fuel. Our 160,000 colleagues, operating in 70 countries, make essential products that touch billions of lives each day. Join us and reach your higher purpose at Cargill.

Job Purpose and Impact

• The Advisor, AI & Data Science job provides thought leadership in the development and implementation of artificial intelligence solutions that drive strategic decision making. As a recognized subject matter expert in the field, this job partners to develop the organization's artificial intelligence strategy, leads implementation of related platforms and products to drive business value and encourages a culture of compliance to governance framework. This job finds opportunities to improve processes and leads efforts to ensure quality of the outcomes and measurable business impact.

Key Accountabilities

• Technical Strategy & Architecture:
  -Define multi-year AI Ops roadmap covering model experimentation, HPC scheduling, inference serving, and data lineage.
  -Evaluate and integrate best-fit OSS/commercial tooling
• Platform Engineering & Operations
  -Build and maintain CI/CD pipelines for model training (GPU/CPU), feature engineering, and automated testing across cloud and HPC clusters.
  -Implement scalable vector databases and caching layers to support low-latency GenAI workloads.
  -Tune scheduler policies for optimal occupancy and cost.
  -Monitor system performance, investigate escalations, and lead post-incident reviews.
• Governance & Compliance
  -Champion data-privacy, model-risk-management, and export-control requirements; embed policy checks into pipelines.
  -Deliver audit-ready documentation for SOC-2, ISO 27001, and sector-specific regulations (eg, food safety, trade compliance).
• Leadership & Mentoring
  -Coach senior engineers and data scientists on scalable MLOps/HPC patterns.
  -Lead AI Platform Design Reviews and contribute to internal communities of practice.

Qualifications

• Minimum requirement : 6 years relevant experience.

• Typical requirement : 10 + years in software/data engineering with at least 4 years running production ML or HPC workloads and 2 + years in GenAI/LLMOps. Experience leading cross-functional engineering teams preferred.

Equal Opportunity Employer, including Disability/Vet.