Machine Learning Engineer
Location: Arlington, VA. Clearance Required: Secret. Employment Type: Full-Time.
Responsibilities
- Develop infrastructure for training, validating, deploying, and operating machine learning models.
- Design and implement automated machine learning pipelines.
- Build and maintain model-serving capabilities supporting efficient inference.
- Develop reusable ML components, libraries, and engineering utilities.
- Implement MLOps practices supporting continuous integration and deployment of models.
- Develop tools and processes for model monitoring, performance tracking, and explainability.
- Collaborate with data engineers to ensure data pipelines meet machine learning requirements.
- Develop testing frameworks and maintain technical documentation for ML components and processes.
Required Qualifications
- Active Secret security clearance required prior to onboarding.
- U.S. citizenship required.
- Bachelor's degree in Computer Science, Machine Learning, Artificial Intelligence, Data Science, Engineering, or a related technical field.
- Experience developing, deploying, or supporting machine learning systems.
- Experience with machine learning frameworks, programming languages, or ML development platforms.
- Understanding of model training, validation, deployment, inference, monitoring, and testing.
- Strong programming, analytical, troubleshooting, and problem-solving skills.
- Ability to work onsite in Arlington, Virginia.
Preferred Qualifications
- Prior experience supporting DoD or federal government environments.
- Experience with MLOps and automated ML pipelines.
- Experience with model serving and inference platforms.
- Experience with model monitoring, performance tracking, or explainability.
- Experience with scalable cloud or platform infrastructure supporting ML workloads.
Benefits
The JAAW Group offers a competitive benefits package designed to support our employees and their families, including:
- Medical, dental, and vision insurance
- 401(k) retirement plan with employer matching
- Paid time off and paid sick leave
- Paid holidays
- Employer-paid life insurance
- Employee Assistance Program (EAP)
- Voluntary supplemental insurance options
