AI ML Engineering Visa Sponsorship Jobs in Virginia
Virginia is one of the strongest states for AI/ML engineering roles, driven by the federal contracting corridor in Northern Virginia, cloud infrastructure hubs anchored by Amazon Web Services and Microsoft, and defense-adjacent employers throughout the DC metro area. Companies like Booz Allen Hamilton, Leidos, Capital One, and Salesforce regularly hire AI/ML engineers and have established visa sponsorship programs.
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Get Access To All JobsINTRODUCTION
Halvik Corp delivers a wide range of services to 13 executive agencies and 15 independent agencies. Halvik is a highly successful WOB business with more than 50 prime contracts and 500+ professionals delivering Digital Services, Advanced Analytics, Artificial Intelligence/Machine Learning, Cyber Security and Cutting-Edge Technology across the US Government. Be a part of something special!
Responsibilities
- Responsible for developing and implementing AI/ML solutions to solve complex problems and enhance business operations.
- Define direction of mission-critical solutions using best-fit AI/ML algorithms and technologies.
- Work closely with cross-functional teams to design, develop, and deploy AI models and algorithms that enable data-driven decision making.
- Conduct statistical analyses using ML techniques for customer-focused solutions.
- Collaborate with cross-functional teams to deliver world-class solutions for large-scale data processing.
- Guide clients in navigating ML algorithms, tools, and frameworks.
- Design, develop, and deploy AI models for data-driven decision making and business innovation.
- Create intelligent systems that automate processes, improve efficiency, and drive business innovation, leveraging their expertise in AI/ML, deep learning, and data analysis.
- Create, train, and maintain intelligent systems to automate processes and improve efficiency.
- Report on industry trends and recommend solutions for AI/ML integration.
- Design and build ML models solving real-world business problems.
- Make informed ML infrastructure decisions based on modeling techniques and issues.
- Write and test application code, develop ML models, and automate tests and deployment.
- Retrain, maintain, and monitor production models.
- Leverage cloud-based architectures to deliver optimized ML models at scale.
- Construct optimized data pipelines for ML models.
- Implement CI/CD best practices for ML model and application code deployment.
- Ensure code security, model governance, and adherence to Responsible and Explainable AI practices.
- Regularly recommend and report on industry trends and solutions to meet evolving client needs regarding techniques, tools and technologies for AI/ML integration.
REQUIREMENTS
- Master's degree or Bachelor's of science with 5+ years of industry experience in Computer Science, Software Engineering, Data Science, Statistics, or related STEM field.
- 5+ years of experience in AI, data science, ML engineering, or related fields.
- 4+ years of experience with modern cloud computing technologies (AWS, Databricks, Microsoft Azure or GCP).
- Experience in fine-tuning LLMs for custom datasets and/or using RAG to augment LLM applications.
- Knowledge of multiple ways of tackling AI/ML problems and demonstrated ability to make good initial choices to make systems that perform well more quickly.
- Experience using Generative AI tools to help in software programming and testing (e.g. VS-Code or GitHub with copilot AI).
- Proficiency in SQL, including advanced query techniques.
- Experience with version control systems (e.g., Git, Github, Jenkins).
- 6+ years of proficiency in Python and Jupyter notebooks. Experience with other languages such as R, and Scala is a plus but not necessary.
- Experience developing and assessing AI/ML models and ensembles.
- Support the seamless integration of multi-media data processing into platform data pipelines.
- Experienced in planning, setting-up, running and reporting on AI/ML experiments.
- Experience building feature repositories for AI-ML model training.
- Project work in deep learning, transformers, computer vision, NLP, or chatbot development.
- Experience in developing Generative AI applications especially using LLMs in domains such as NLP and image processing.
- Knowledge of modern software design patterns (e.g., microservices, edge computing).
- Experience working with LLM frameworks and foundation models like LLaMa-3 and experience working with LLM model repositories like Huggingface.
- Familiarity with MLOps practices and tools for model versioning and experiment tracking.
- Experience identifying appropriate AI/ML models for a problem and using appropriate techniques to evaluate performance to choose the best model.
- Experience with techniques for tuning model parameters to application data and conditions.
ABILITIES
- Ability to lead an Agile team of data scientists, engineers, architects and testers.
- Demonstrated ability to work independently.
- Strong problem-solving skills and ability to think creatively to overcome technical challenges.
- Participate in the full machine learning lifecycle, from business understanding, data collection and preprocessing to model selection, evaluation, deployment and monitoring.
- Adapt to rapidly changing technologies and methodologies in the AI/ML field.
- Excellent communication, analytical, and interpersonal skills.
- Ability to gather requirements and work effectively as part of an Agile team.
- Capacity to explain complex technical concepts to non-technical stakeholders.
- Excellent technical writing skills.
- Collaborate with business stakeholders to identify opportunities for AI/ML applications.
- Develop and maintain documentation for ML models, including methodology, assumptions, and limitations.
- Mentor junior team members and contribute to the growth of the AI/ML practice.
- Ability to thrive in a mainly remote work environment.
- Commitment to continuous learning in the fast-evolving AI/ML landscape and look for ways to apply new techniques when appropriate.
DESIRED QUALIFICATIONS
- Having experience and a good understanding of Ux, Human-AI teaming, human factors in AI and software systems.
- Published research papers or patents in the field of AI/ML.
- Knowledge of Agentic AI Systems (e.g. AutoGen, LangGraph, LangChain, CrewAI etc.).
- Experience with Knowledge Graphs tools and techniques.
- Experience with federated learning or privacy-preserving machine learning techniques.
- Knowledge of data visualization techniques and tools.
- GPU programming experience.
COMPENSATION
Halvik offers a competitive full benefits package including:
- Company-supported medical, dental, vision, life, STD, and LTD insurance.
- Benefits include 11 federal holidays and PTO.
- Eligible employees may receive performance-based incentives in recognition of individual and/or team achievements.
- 401(k) with company matching.
- Flexible Spending Accounts for commuter, medical, and dependent care expenses.
- Tuition Assistance.
- Charitable Contribution matching.
Halvik Corp is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or veteran status.
INTRODUCTION
Halvik Corp delivers a wide range of services to 13 executive agencies and 15 independent agencies. Halvik is a highly successful WOB business with more than 50 prime contracts and 500+ professionals delivering Digital Services, Advanced Analytics, Artificial Intelligence/Machine Learning, Cyber Security and Cutting-Edge Technology across the US Government. Be a part of something special!
Responsibilities
- Responsible for developing and implementing AI/ML solutions to solve complex problems and enhance business operations.
- Define direction of mission-critical solutions using best-fit AI/ML algorithms and technologies.
- Work closely with cross-functional teams to design, develop, and deploy AI models and algorithms that enable data-driven decision making.
- Conduct statistical analyses using ML techniques for customer-focused solutions.
- Collaborate with cross-functional teams to deliver world-class solutions for large-scale data processing.
- Guide clients in navigating ML algorithms, tools, and frameworks.
- Design, develop, and deploy AI models for data-driven decision making and business innovation.
- Create intelligent systems that automate processes, improve efficiency, and drive business innovation, leveraging their expertise in AI/ML, deep learning, and data analysis.
- Create, train, and maintain intelligent systems to automate processes and improve efficiency.
- Report on industry trends and recommend solutions for AI/ML integration.
- Design and build ML models solving real-world business problems.
- Make informed ML infrastructure decisions based on modeling techniques and issues.
- Write and test application code, develop ML models, and automate tests and deployment.
- Retrain, maintain, and monitor production models.
- Leverage cloud-based architectures to deliver optimized ML models at scale.
- Construct optimized data pipelines for ML models.
- Implement CI/CD best practices for ML model and application code deployment.
- Ensure code security, model governance, and adherence to Responsible and Explainable AI practices.
- Regularly recommend and report on industry trends and solutions to meet evolving client needs regarding techniques, tools and technologies for AI/ML integration.
REQUIREMENTS
- Master's degree or Bachelor's of science with 5+ years of industry experience in Computer Science, Software Engineering, Data Science, Statistics, or related STEM field.
- 5+ years of experience in AI, data science, ML engineering, or related fields.
- 4+ years of experience with modern cloud computing technologies (AWS, Databricks, Microsoft Azure or GCP).
- Experience in fine-tuning LLMs for custom datasets and/or using RAG to augment LLM applications.
- Knowledge of multiple ways of tackling AI/ML problems and demonstrated ability to make good initial choices to make systems that perform well more quickly.
- Experience using Generative AI tools to help in software programming and testing (e.g. VS-Code or GitHub with copilot AI).
- Proficiency in SQL, including advanced query techniques.
- Experience with version control systems (e.g., Git, Github, Jenkins).
- 6+ years of proficiency in Python and Jupyter notebooks. Experience with other languages such as R, and Scala is a plus but not necessary.
- Experience developing and assessing AI/ML models and ensembles.
- Support the seamless integration of multi-media data processing into platform data pipelines.
- Experienced in planning, setting-up, running and reporting on AI/ML experiments.
- Experience building feature repositories for AI-ML model training.
- Project work in deep learning, transformers, computer vision, NLP, or chatbot development.
- Experience in developing Generative AI applications especially using LLMs in domains such as NLP and image processing.
- Knowledge of modern software design patterns (e.g., microservices, edge computing).
- Experience working with LLM frameworks and foundation models like LLaMa-3 and experience working with LLM model repositories like Huggingface.
- Familiarity with MLOps practices and tools for model versioning and experiment tracking.
- Experience identifying appropriate AI/ML models for a problem and using appropriate techniques to evaluate performance to choose the best model.
- Experience with techniques for tuning model parameters to application data and conditions.
ABILITIES
- Ability to lead an Agile team of data scientists, engineers, architects and testers.
- Demonstrated ability to work independently.
- Strong problem-solving skills and ability to think creatively to overcome technical challenges.
- Participate in the full machine learning lifecycle, from business understanding, data collection and preprocessing to model selection, evaluation, deployment and monitoring.
- Adapt to rapidly changing technologies and methodologies in the AI/ML field.
- Excellent communication, analytical, and interpersonal skills.
- Ability to gather requirements and work effectively as part of an Agile team.
- Capacity to explain complex technical concepts to non-technical stakeholders.
- Excellent technical writing skills.
- Collaborate with business stakeholders to identify opportunities for AI/ML applications.
- Develop and maintain documentation for ML models, including methodology, assumptions, and limitations.
- Mentor junior team members and contribute to the growth of the AI/ML practice.
- Ability to thrive in a mainly remote work environment.
- Commitment to continuous learning in the fast-evolving AI/ML landscape and look for ways to apply new techniques when appropriate.
DESIRED QUALIFICATIONS
- Having experience and a good understanding of Ux, Human-AI teaming, human factors in AI and software systems.
- Published research papers or patents in the field of AI/ML.
- Knowledge of Agentic AI Systems (e.g. AutoGen, LangGraph, LangChain, CrewAI etc.).
- Experience with Knowledge Graphs tools and techniques.
- Experience with federated learning or privacy-preserving machine learning techniques.
- Knowledge of data visualization techniques and tools.
- GPU programming experience.
COMPENSATION
Halvik offers a competitive full benefits package including:
- Company-supported medical, dental, vision, life, STD, and LTD insurance.
- Benefits include 11 federal holidays and PTO.
- Eligible employees may receive performance-based incentives in recognition of individual and/or team achievements.
- 401(k) with company matching.
- Flexible Spending Accounts for commuter, medical, and dependent care expenses.
- Tuition Assistance.
- Charitable Contribution matching.
Halvik Corp is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or veteran status.
AI ML Engineering Job Roles in Virginia
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Search AI ML Engineering Jobs in VirginiaAI ML Engineering Jobs in Virginia: Frequently Asked Questions
Which companies sponsor visas for AI/ML engineers in Virginia?
Northern Virginia's tech and federal contracting sectors produce the highest concentration of AI/ML sponsoring employers in the state. Amazon Web Services, Microsoft, Capital One, Booz Allen Hamilton, Leidos, and Salesforce have all filed H-1B petitions for AI/ML engineering roles in Virginia. Larger defense contractors and cloud-focused firms tend to have dedicated immigration support teams, which can make the sponsorship process more straightforward than at smaller startups.
Which visa types are most common for AI/ML engineering roles in Virginia?
The H-1B is the most common visa for AI/ML engineers in Virginia, given that roles typically require at least a bachelor's degree in computer science, statistics, or a related field, which satisfies the specialty occupation standard. Candidates already in the U.S. on F-1 OPT or STEM OPT extensions frequently transition to H-1B sponsorship through Virginia employers. The O-1A is another pathway for engineers with demonstrated exceptional ability, such as published research or significant open-source contributions.
Which cities in Virginia have the most AI/ML engineering sponsorship jobs?
Northern Virginia, particularly the cities of Arlington, McLean, Reston, and Herndon, accounts for the large majority of AI/ML engineering sponsorship activity in the state. This corridor sits adjacent to Washington, D.C., and houses major cloud data centers, federal agencies, and large tech employers. Richmond has a smaller but growing presence, anchored by Capital One's headquarters and an expanding financial technology sector. Remote roles based in Virginia also appear with some regularity among larger tech employers.
How to find ai ml engineering visa sponsorship jobs in Virginia?
Migrate Mate filters job listings specifically by visa sponsorship availability, making it easier to identify AI/ML engineering roles in Virginia without sorting through positions that don't offer sponsorship. You can search by state and role type to surface active openings from employers who have a documented history of sponsoring work visas. For AI/ML roles in Virginia, filtering to Northern Virginia cities like Reston, McLean, and Arlington will return the highest volume of relevant results.
Are there any Virginia-specific considerations for AI/ML engineers seeking visa sponsorship?
Virginia's proximity to federal agencies creates a notable complication: many AI/ML roles at defense contractors and government-adjacent firms require security clearances, which are generally not available to visa holders who are not U.S. citizens or permanent residents. This effectively limits sponsorship-eligible AI/ML roles to the commercial tech sector, financial services, and cloud infrastructure companies. Candidates with graduate degrees from Virginia universities such as George Mason, Virginia Tech, or UVA can leverage STEM OPT extensions of up to three years while pursuing H-1B sponsorship.
What is the prevailing wage for sponsored ai ml engineering jobs in Virginia?
U.S. employers sponsoring a visa must pay at least the prevailing wage, which is what workers in the same role, area, and experience level typically earn. The Department of Labor sets this rate to make sure companies aren't hiring foreign workers simply because they'd accept lower pay than a U.S. worker. It varies by job title, location, and experience. You can look up current prevailing wage rates for any occupation and location using the OFLC Wage Search page.
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