ZipRecruiter

Log In

1

Software Engineer Ai Model Training Jobs in Virginia

540

AI/ML Engineer

Arlington, VA · On-site

Working with software engineers, data engineers, data scientists, cybersecurity teams, and mission ... Develop automated pipelines for model training, validation, testing, deployment, and monitoring

540

AI/ML Engineer

Arlington, VA · On-site

Working with software engineers, data engineers, data scientists, cybersecurity teams, and mission ... Develop automated pipelines for model training, validation, testing, deployment, and monitoring

New

540

AI/ML Engineer

Arlington, VA

Working with software engineers, data engineers, data scientists, cybersecurity teams, and mission ... Develop automated pipelines for model training, validation, testing, deployment, and monitoring

540

Senior AI/ML Engineer

Arlington, VA · On-site

$120K - $165K/yr

Advanced software engineering experience using Python and commonly used AI/ML frameworks * Experience architecting automated model training, validation, deployment, and monitoring pipelines

New

540

Senior AI/ML Engineer

Arlington, VA · On-site

$120K - $165K/yr

Advanced software engineering experience using Python and commonly used AI/ML frameworks * Experience architecting automated model training, validation, deployment, and monitoring pipelines

540

Senior AI/ML Engineer

Arlington, VA · On-site

$120K - $165K/yr

Advanced software engineering experience using Python and commonly used AI/ML frameworks * Experience architecting automated model training, validation, deployment, and monitoring pipelines

Luck Stone

AI Engineer

Manakin Sabot, VA

$152K/yr

Experience with automating AI model training, deployment pipelines, and optimization processes ... Proficient in software development practices, version control (Git), and testing frameworks

Luck Stone Corporation

AI Engineer

VA · On-site

$152K/yr

Experience with automating AI model training, deployment pipelines, and optimization processes ... Proficient in software development practices, version control (Git), and testing frameworks

540

Senior Software Engineer (AI/ML)

Arlington, VA

$140K - $185K/yr

HOW YOU'LL DRIVE IMPACT * Design and develop machine learning models and applications for ... Professional development (training, certifications, conferences) * Paid cloud developer accounts

Fannie Mae

Advisor Software Engineer (AI/ML)

Reston, VA · On-site

THE IMPACT YOU WILL MAKE The Advisor Software Engineer (AI/ML) role will offer you the flexibility ... Experience with model development and deployment practices, including feature engineering, model ...

Fanniemae

Advisor Software Engineer (AI/ML)

Reston, VA · On-site

THE IMPACT YOU WILL MAKE TheAdvisor Software Engineer (AI/ML)role will offer you the flexibility to ... Experience with model development and deployment practices, including feature engineering, model ...

next page

Showing results 1-20

All JobsSoftware Engineer Ai Model Training JobsSoftware Engineer Ai Model Training Jobs in Virginia

Software Engineer Ai Model Training information

What are some common challenges faced by Software Engineers specializing in AI model training, and how can they be addressed?

Software Engineers focusing on AI model training often encounter challenges such as managing large datasets, ensuring data quality, and optimizing model performance. Addressing these issues typically involves close collaboration with data scientists, domain experts, and DevOps engineers to streamline the data pipeline and refine training processes. Staying up to date with the latest advancements in machine learning frameworks and tools can also help overcome technical hurdles. Regular code reviews and cross-functional meetings further support problem-solving and foster a productive work environment.

What are the key skills and qualifications needed to thrive as a Software Engineer in AI Model Training, and why are they important?

To excel as a Software Engineer in AI Model Training, you need strong programming skills (especially in Python), a solid grasp of machine learning fundamentals, and typically a degree in computer science or a related field. Experience with frameworks like TensorFlow or PyTorch, familiarity with data processing tools, and sometimes certifications in AI or ML are highly valuable. Analytical thinking, problem-solving, and effective collaboration enhance your ability to develop and refine complex AI models. These skills ensure that AI solutions are robust, scalable, and aligned with organizational goals in a rapidly evolving technological landscape.

What is the difference between Software Engineer Ai Model Training vs Data Scientist?

AspectSoftware Engineer Ai Model TrainingData Scientist
Required CredentialsBachelor's in CS, related field; experience with ML frameworksBachelor's or higher in CS, statistics, or related field; strong analytical skills
Work EnvironmentDevelopment teams, AI labs, cloud platformsData analysis, research environments, business units
Employer & Industry UsageTech companies, AI startups, research institutionsTech firms, finance, healthcare, consulting

While both roles involve working with data and machine learning, Software Engineer Ai Model Training focuses on developing and optimizing AI models through coding and engineering practices. Data Scientists analyze data, build models, and generate insights. The roles often collaborate but differ in their core responsibilities and skill sets.

What does a Software Engineer in AI Model Training do?

A Software Engineer specializing in AI Model Training is responsible for designing, developing, and optimizing machine learning models. Their work involves preparing and processing large datasets, selecting appropriate algorithms, implementing training pipelines, and evaluating model performance. They collaborate closely with data scientists and other engineers to ensure that AI models are accurate, efficient, and suitable for deployment in real-world applications. Additionally, they may help maintain infrastructure for model training and contribute to research and development of new AI techniques.
What are popular job titles related to Software Engineer Ai Model Training jobs in Virginia? For Software Engineer Ai Model Training jobs in Virginia, the most frequently searched job titles are:
What job categories do people searching Software Engineer Ai Model Training jobs in Virginia look for? The top searched job categories for Software Engineer Ai Model Training jobs in Virginia are:
What cities in Virginia are hiring for Software Engineer Ai Model Training jobs? Cities in Virginia with the most Software Engineer Ai Model Training job openings:
Software Engineer Ai Model Training jobs near you

AI/ML Engineer

540

Arlington, VA • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 5 days ago

Job description

540 is seeking an AI/ML Engineer to support a mission-critical technology modernization effort for the Department of War. You will design, build, and maintain production AI/ML services and infrastructure that enable teams to develop, deploy, monitor, and scale models supporting complex defense missions.
Working with software engineers, data engineers, data scientists, cybersecurity teams, and mission stakeholders, you will build reusable ML capabilities and automated pipelines using modern software engineering and MLOps practices. The ideal candidate enjoys solving complex engineering challenges and building secure, reliable AI/ML systems that directly support mission outcomes.
Location: Arlington, VA
Citizenship & Clearance Requirement: Per client requirements, candidates must be U.S. Citizens with an active DoW Secret (or higher) clearance
Education Requirement: Bachelor's degree in Computer Science, Engineering, or a related technical field preferred; equivalent combinations of education and relevant experience will be considered
540 Internal Thrive Level: Software Engineer II or III
WHY 540?
540 is a forward-thinking company that the government turns to in order to #getshitdone. We don't just talk about innovation - we deliver it. We break down barriers, build impactful technology, and solve mission-critical problems.
HOW YOU'LL DRIVE IMPACT
  • Design, build, and maintain AI/ML services, products, and lifecycle capabilities supporting WDP
  • Develop automated pipelines for model training, validation, testing, deployment, and monitoring
  • Create reusable frameworks, libraries, and shared components that accelerate AI/ML development
  • Build model-serving capabilities supporting secure, scalable, and reliable batch or real-time inference
  • Implement MLOps practices using CI/CD, infrastructure as code, automated testing, and source control
  • Develop model monitoring, performance tracking, drift detection, and operational health capabilities
  • Support model explainability, reproducibility, governance, and lifecycle traceability
  • Manage model versions, artifacts, datasets, and feature-engineering workflows
  • Optimize AI/ML services and infrastructure for performance, scalability, reliability, and cost efficiency
  • Collaborate with data engineers and data scientists to prepare data and operationalize models
  • Partner with cybersecurity teams to implement security, access-control, auditing, and governance requirements
  • Troubleshoot issues spanning models, applications, data pipelines, infrastructure, and production services
  • Document AI/ML architectures, engineering processes, and operational procedures

REQUIRED SKILLS & EXPERIENCE
  • 4+ years of relevant AI/ML engineering, software engineering, or data science experience
  • Experience developing and deploying production-grade AI or machine learning systems
  • Proficiency with Python and commonly used AI/ML frameworks
  • Experience building automated model training, validation, deployment, and monitoring pipelines
  • Experience with MLOps platforms, practices, and tools
  • Experience deploying models in cloud-based or containerized environments
  • Experience developing APIs, microservices, or model-serving capabilities for batch or real-time inference
  • Understanding of model evaluation, performance monitoring, drift detection, explainability, and governance
  • Experience with Docker, Kubernetes, or similar containerization and orchestration technologies
  • Experience with CI/CD, infrastructure as code, automated testing, and source control
  • Experience working within AWS, Azure, or Google Cloud
  • Familiarity with data pipelines, feature engineering, distributed data processing, and data versioning
  • Ability to troubleshoot issues across applications, infrastructure, data, and machine learning systems
  • Strong communication and collaboration skills, including the ability to document and explain technical decisions

NICE TO HAVE
  • Experience supporting DoW, federal, Advana, or other enterprise AI/ML and data platforms
  • Experience with AWS SageMaker or comparable cloud AI/ML platforms
  • Experience with MLflow, Kubeflow, Airflow, Argo Workflows, Ray, Feast, or similar tools
  • Experience building AI/ML solutions in secure, regulated, classified, or mission-critical environments
  • Familiarity with large language models, generative AI, retrieval-augmented generation, or foundation-model operations
  • Experience implementing responsible AI, model-risk-management, or AI-governance practices
  • Currently holds, or is willing to obtain within 30 days of employment, an approved certification such as CCSP, CFR, FITSP-M, GSEC, Security+, or SSCP

BENEFITS & PERKS
  • Flexible PTO + all Federal holidays off
  • Health, dental and vision insurance plans
  • Flexible Spending Account (FSA)
  • 401k with employer match
  • Company-sponsored life insurance, short- and long-term disability
  • Professional development (training, certifications, conferences)
  • Paid cloud developer accounts
  • Referral bonuses
  • HQ office perks (parking / metro reimbursement, nitro coffee & lunches)
  • Annual social events (540 Week, hackathon, charity golf tournament, etc.)
  • Access to 540's Washington Capitals & Nationals tickets

EQUAL EMPLOYMENT OPPORTUNITY (EEO)
540's policy is to provide equal employment opportunity to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.
This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training.

Apply