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Ai Model Jobs in Virginia (NOW HIRING)

ECS

AI Model Engineer

Ashburn, VA · On-site

$125K - $150K/yr

Everforth ECS is seeking an AI Model Engineer to work in a hybrid remote/onsite capacity, with minimum of 3 business days onsite at our Fairfax, VA corporate office and/or our Ashburn, VA customer

ECS

AI Model Engineer with Security Clearance

Fairfax, VA · On-site

$125K - $150K/yr

Everforth ECS is seeking an AI Model Engineer to work in a hybrid remote/onsite capacity, with minimum of 3 business days onsite at our Fairfax, VA corporate office and/or our Ashburn, VA customer

Saic

AI/ML Engineer

Chantilly, VA · On-site

$200K - $240K/yr

Description SAIC is seeking an experienced AI/ML Engineer to serve as a senior technical advisor, ensuring infrastructure supports frontier AI models, mission use cases, and rapid R&D

SAIC

AI/ML Engineer

Chantilly, VA · Hybrid

$200K - $240K/yr

Job ID: 2615905 Location: Chantilly, VA, US Date Posted: 2026-08-26 Category: Engineering and Sciences Subcategory: Machine Learning Engineer Schedule: Full-Time Shift: Day Job Travel: Yes - 10% of

IntrepidGS

AI/ML Model Engineer

Mclean, VA · On-site

Job Summary : IntrepidGS is a leading provider of global-scale logistics and advanced professional services. They are seeking an AI/ML Model Engineer to develop machine learning models that optimize

Intrepidgs

AI/ML Model Engineer

Mclean, VA · On-site

## AI/ML Model EngineerApplylocations: McLean, VAposted on: Posted Todayjob requisition id: R - 101578Position contingent upon contract awardAs the **AI/ML Model Engineer**, you will develop machine

SAIC

AI/ML Engineer

Chantilly, VA · On-site

$200K - $240K/yr

Description SAIC is seeking an experienced AI/ML Engineer to serve as a senior technical advisor, ensuring infrastructure supports frontier AI models, mission use cases, and rapid R&D

SAIC

AI/ML Engineer

Chantilly, VA · On-site

$200K - $240K/yr

Job ID: 2615905 Location: Chantilly, VA, US Date Posted: 2026-08-26 Category: Engineering and Sciences Subcategory: Machine Learning Engineer Schedule: Full-Time Shift: Day Job Travel: Yes - 10% of

Intrepid

AI/ML Model Engineer

Mclean, VA · On-site

Position contingent upon contract award As the AI/ML Model Engineer , you will develop machine learning models that optimize automation and generate data driven insights. The role involves testing

Intrepid

AI/ML Model Engineer

Mclean, VA · On-site

Position contingent upon contract award As the AI/ML Model Engineer , you will develop machine learning models that optimize automation and generate data driven insights. The role involves testing

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Ai Model information

What is an AI model?

AI models are computer programs designed to simulate human intelligence by learning patterns from data and making predictions or decisions based on that learning. These models can perform a variety of tasks, such as recognizing speech, translating languages, analyzing images, and generating text. AI models are created using machine learning algorithms and are trained on large datasets to improve their accuracy and performance. Popular examples include neural networks, decision trees, and support vector machines. The effectiveness of an AI model depends on the quality of the data, the chosen algorithm, and the training process.

What are the key skills and qualifications needed to thrive as an AI model, and why are they important?

To excel as an AI Model Developer, you need strong programming skills (especially in Python), a solid understanding of machine learning algorithms, and typically a degree in computer science, data science, or a related field. Familiarity with ML frameworks like TensorFlow or PyTorch, cloud platforms, and relevant certifications such as TensorFlow Developer or AWS Machine Learning Specialty are valuable. Critical thinking, continuous learning, and effective collaboration with interdisciplinary teams are key soft skills for success. These competencies enable the creation of accurate, reliable AI models that can effectively solve complex real-world problems.

What are some common challenges faced by professionals working as AI model developers, and how can they address them?

Professionals working as AI Model developers often encounter challenges such as managing large and complex datasets, ensuring model accuracy, and addressing issues of bias in algorithms. They may also need to balance the trade-off between model performance and interpretability, especially when deploying models in production environments. To overcome these challenges, AI Model developers typically collaborate closely with data engineers, domain experts, and other stakeholders, regularly validate their models, and stay updated with the latest advancements in the field to adopt best practices.

What is the difference between Ai Model vs Data Scientist?

AspectAi ModelData Scientist
Required CredentialsKnowledge of machine learning, programming skills, sometimes certifications in AI/MLDegree in data science, statistics, computer science; certifications beneficial
Work EnvironmentFocus on developing, training, and deploying AI modelsData analysis, interpretation, and visualization; often collaborates with AI teams
Industry UsageUsed in AI development, automation, and predictive modelingApplied across industries for insights, reporting, and decision-making

While both roles involve working with data and algorithms, an Ai Model primarily focuses on creating and refining AI systems, whereas a Data Scientist analyzes data to generate insights and supports AI development. The roles often overlap but serve distinct functions within the data and AI ecosystem.

What is the easiest AI Model job to get into?

Entry-level AI model jobs often include roles such as data annotator or junior machine learning assistant, which typically require basic programming skills in Python and understanding of data labeling. These positions usually have lower experience requirements and may offer on-the-job training, making them accessible for beginners entering the AI field.

What are popular job titles related to Ai Model jobs in Virginia?

For Ai Model jobs in Virginia, the most frequently searched job titles are:

What job categories do people searching Ai Model jobs in Virginia look for?

The top searched job categories for Ai Model jobs in Virginia are:

What cities in Virginia are hiring for Ai Model jobs?

Cities in Virginia with the most Ai Model job openings:

Ai Model jobs near you
Infographic showing various Ai Model job openings in Virginia as of August 2026, with employment types broken down into 62% Full Time, 24% Part Time, and 14% Contract. Highlights an 93% In-person, and 7% Remote job distribution.

AI Model Engineer

Ashburn, VA • On-site

ECS
See more jobs at ECSexternal

$125K - $150K/yr

Full-time

Posted 10 days ago

Job description

Everforth ECS is seeking an AI Model Engineer to work in a hybrid remote/onsite capacity, with minimum of 3 business days onsite at our Fairfax, VA corporate office and/or our Ashburn, VA customer site.
Please note: This position is contingent upon contract award
Everforth ECS is seeking an accomplished AI/ML Engineer to provide technical leadership and strategic guidance on the integration of advanced artificial intelligence and machine learning solutions to support mission-critical government and defense objectives. The ideal candidate is innovative with a track record of evaluating, experimenting with, and transitioning emerging technologies into operational use. This role requires exceptional communication skills, strong technical expertise, and experience collaborating across the Department of Homeland Security (DHS) and other government agencies. The AI Engineer will design, train, implement, and maintain end-to-end machine learning algorithms and their pipelines, automating deployment and monitoring processes while ensuring performance, observability, and security. This role contributes to building scalable infrastructure, real-time dashboards, and automated pipelines that enable secure, compliant, and efficient AI operations aligned with mission and business goals.
Key responsibilities include:
  • Design, build, train, and fine tune computer vision models for object detection, tracking, and classification tasks.
  • Utilize multimodal architectures for robust retrieval and data fusion.
  • Coordinate the planning, development, and execution of cutting-edge research programs designed to experimentally validate novel AI/ML concepts.
  • Evaluate emerging technologies from academia and industry for their potential impact on national security.
  • Serve as a subject matter expert, providing technical leadership and strategic recommendations to government decision-makers on AI/ML technology, adoption, and implementation.
  • Set the technical direction for advanced computer vision and AI capabilities supporting exploitation of remote sensing data, including EO and hyperspectral imagery.
  • Conduct rapid feasibility studies and prototype implementations to evaluate emerging algorithms, model architectures, and data exploitation approaches.
  • Use prototype-driven demonstrations and technical studies to shape applied research programs and support proposal development for new AI initiatives.
  • Advance the application of vision-language and multimodal foundation models for analysis, retrieval, and reasoning over large-scale EO/IR and hyperspectral datasets.
  • Work closely with mission partners to refine problem definitions, evaluate prototype systems, and ensure developed capabilities transition rapidly into operational environments.
  • Prepare and deliver high-quality technical briefings, documentation, and presentations for both technical and non-technical audiences
  • Utilizing data pipelines in Databricks, Apache Spark, and related ETL technologies (e.g., AWS Glue, Apache Airflow).
  • Ensuring compliance with DHS security and accreditation standards, including STIGs and Impact Level controls.
  • Providing architectural oversight on data ingestion, curation, and storage to produce reliable, high-quality datasets for AI/ML development.
  • Supporting DevSecOps practices, CI/CD pipelines, and automation to streamline delivery.

Note: Candidates must be able to clear and maintain a Public Trust Clearance from the US federal gvmt. This requires US Citizenship and the ability to pass an in-depth background check.
Salary Range: $125,000-$150,000
General Description of Benefits
  • Must be a US Citizen with the ability to obtain and maintain a Public Trust determination
  • Minimum Bachelor's degree in Computer Science, Electrical Engineering, or a related technical field
  • 6+ years of experience in software engineering and data engineering
  • Experience with cloud architecture
  • Proficiency with AI/ML frameworks (e.g., TensorFlow, PyTorch, YOLO, ONNX)
  • Proficiency in Linux -- system administration, scripting in Bash, troubleshooting
  • Strong foundation in AI/ML algorithms and ability to implement agentic workflow, and prompt engineering
  • Experience in large language model (LLM) applications
  • Strong understanding of model evaluation metrics (e.g., precision, recall, F1) and statistical drift detection methods
  • Expertise in containerization and orchestration (Docker, Kubernetes, OpenShift) and CI/CD automation (GitHub Actions, Jenkins)
  • Proficiency in building and managing ETL pipelines (e.g. AWS Glue, Apache Airflow)
  • Strong communication skills with the ability to interface and collaborate with project managers, stakeholders, vendors, and technical staff

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