ML Engineer – Gov Cloud & Healthcare AI

Karsun Solutions, LLC; Virginia; Hybrid; USD 160,000 - 180,000; Full time

Job summary

Karsun Solutions, LLC is actively supporting modernization efforts for Veterans Affairs. We seek a senior ML engineer to design, deploy, and scale machine learning models within enterprise platforms and cloud-based SaaS/PaaS environments, while safeguarding privacy and regulatory compliance.

The role emphasizes ML lifecycle, MLOps tooling, Python, and collaboration with stakeholders. The position may be onsite two days per week in the DMV area.

Qualifications

• Bachelor's degree in a related field and 7+ years of relevant experience.
• Experience designing, deploying, and maintaining ML models and pipelines in production enterprise environments.
• Eligibility to obtain VA Public Trust background.
• Available on contract award and willing to sign a letter of commitment.

Responsibilities

• Design, develop, deploy, and maintain scalable machine learning models and pipelines that support enterprise objectives.
• Apply advanced ML frameworks and lifecycle management to improve predictive capability and analytics.
• Lead model integration with DTC enterprise platforms via APIs and reusable components.
• Lead model performance monitoring, including drift detection, retraining, and validation.
• Protect PII and PHI under HIPAA and VA privacy requirements; support security/ATO docs.
• Educate stakeholders and provide technical guidance to ensure on-schedule delivery.

Skills

Machine Learning

Python

MLOps

Cloud experience

Education

Bachelor's degree in Computer Science / AI / Data Science / IS / OR

Tools

AWS SageMaker

Azure Machine Learning

PyTorch

TensorFlow

scikit-learn

Job description

Karsun Solutions, LLC is actively supporting modernization efforts for Veterans Affairs. We seek a senior ML engineer to design, deploy, and scale machine learning models within enterprise platforms and cloud-based SaaS/PaaS environments, while safeguarding privacy and regulatory compliance.

The role emphasizes ML lifecycle, MLOps tooling, Python, and collaboration with stakeholders. The position may be onsite two days per week in the DMV area.