ML Engineer

Karsun Solutions, LLC • Remote - Multiple Locations, United States

2d

About The Position

Karsun Solutions is hiring an ML Engineer to support a contingent Department of Veterans Affairs modernization program focused on expanding the Digital Transformation Center’s ability to deliver enterprise applications and digital capabilities for Veteran healthcare services and benefits programs. The program uses modern development frameworks, low-code and no-code platforms, and cloud-based SaaS and PaaS environments, supporting multiple concurrent products while maintaining reliability, security, and delivery speed.

The ML Engineer will design, develop, deploy, and maintain scalable machine learning models and pipelines; integrate models with enterprise platforms; monitor and maintain model performance; protect sensitive information; and provide technical guidance to stakeholders. Candidates must be available on contract award and willing to sign a letter of commitment. The position prefers candidates local to the DMV area and willing to work onsite two days per week. To be considered, applicants must reside in one of the listed states and be authorized to work in the U.S.

Requirements

• Bachelor’s degree in Computer Science, Artificial Intelligence, Data Science, Information Systems, Operations Research, or a related field, plus at least 7 years of relevant experience; 10 years of relevant experience may substitute for the degree.
• Demonstrated experience designing, deploying, and maintaining machine learning models and pipelines in production enterprise environments.
• Ability to obtain and maintain a VA Public Trust background investigation.
• Available on contract award and willing to sign a letter of commitment.
• Must be authorized to work in the U.S.
• Must reside in CA, CO, DC, FL, GA, IL, MD, NJ, NY, NC, OH, OK, PA, SC, TX, or VA.

Nice To Haves

• Experience with MLOps tooling and model lifecycle management in a commercial cloud environment, such as AWS SageMaker or Azure Machine Learning.
• Experience with ML in healthcare, benefits, or other regulated environments, including FedRAMP or ATO processes.
• Proficiency in Python and common ML frameworks, such as PyTorch, TensorFlow, or scikit-learn.
• Experience with data governance and responsible AI practices.
• Local to the DMV area and willing to work onsite two days per week.

Responsibilities

• Design, develop, deploy, and maintain scalable machine learning models and pipelines that support enterprise mission objectives and operational baselines.
• Apply advanced ML frameworks and lifecycle management practices to improve predictive capability, automation, and analytical insight in alignment with business requirements and data governance.
• Lead model integration with DTC enterprise platforms—including Salesforce/MuleSoft, Microsoft Power Platform/Dynamics, Pega, Box, and Appian—through APIs and reusable components.
• Lead model performance monitoring, including drift detection, retraining, and validation, to keep deployed solutions reliable and compliant.
• Protect PII and PHI in training data and model outputs under HIPAA and VA privacy requirements, and support security and ATO documentation for ML components.
• Educate stakeholders and provide technical guidance so solutions are delivered on schedule.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior