Senior ML Engineer - Hybrid, Government Healthcare Tech

Karsun Solutions; United States; Hybrid; USD 160,000 - 180,000; Full time

Job summary

Karsun Solutions is actively looking to support modernization of digital services for Veterans Affairs. The role focuses on designing, deploying, and maintaining ML models within enterprise platforms, with an emphasis on security and HIPAA-compliant data handling.

Preferred candidates are local to the DMV area, willing to be onsite two days per week, and capable of navigating a government-contract environment in the US.

Qualifications

• Bachelor’s degree in Computer Science, Artificial Intelligence, Data Science, Information Systems, Operations Research, or related field.
• Minimum of 7 years of relevant experience; 10 years may substitute for the degree.
• Experience designing, deploying, and maintaining ML models and pipelines in production environments.
• Ability to obtain and maintain a VA Public Trust background investigation.
• Available on contract award and willing to sign a letter of commitment.

Responsibilities

• Design, develop, deploy, and maintain scalable ML models and pipelines for enterprise objectives.
• Apply ML frameworks and lifecycle practices to improve predictive capability and governance.
• Lead model integration with DTC enterprise platforms via APIs and reusable components.
• Lead model performance monitoring, drift detection, retraining, and validation to stay reliable.
• Protect PII/PHI and support security/ATO documentation for ML components.
• Educate stakeholders and provide technical guidance to deliver on schedule.

Skills

ML engineering

Python

Education

Bachelor’s degree in Computer Science, Artificial Intelligence, Data Science, Information Systems, Operations Research, or a related field

Tools

PyTorch

TensorFlow

scikit-learn

AWS SageMaker

Job description

Karsun Solutions is actively looking to support modernization of digital services for Veterans Affairs. The role focuses on designing, deploying, and maintaining ML models within enterprise platforms, with an emphasis on security and HIPAA-compliant data handling.

Preferred candidates are local to the DMV area, willing to be onsite two days per week, and capable of navigating a government-contract environment in the US.