Senior ML Engineer — Enterprise Healthcare AI

Karsun Solutions, LLC; Ohio; On-site; USD 160,000 - 180,000; Full time

Job summary

Karsun Solutions is actively looking to support a modernization of digital services and accelerate delivery of healthcare and benefits programs for Veterans at the Department of Veterans Affairs. The program focuses on enterprise applications using modern development frameworks, low code/no code platforms, and cloud based SaaS and PaaS environments.

The role involves designing, developing, deploying, and maintaining ML models and pipelines, integrating with enterprise platforms through APIs, and

Qualifications

• Bachelor's degree in CS/AI/DS or related field.
• 7+ years relevant experience; 10 years may substitute for degree.
• Experience deploying ML models in production environments.
• Ability to obtain and maintain a VA Public Trust background.
• Available on contract award and willing to sign a letter of commitment.

Responsibilities

• Design, develop, deploy, and maintain scalable ML models and pipelines.
• Lead model integration with enterprise platforms via APIs.
• Lead model performance monitoring, drift detection, retraining and validation.
• Protect PII and PHI in training data and model outputs under HIPAA and VA privacy requirements.
• Educate stakeholders and provide technical guidance so solutions are delivered on schedule.

Skills

Machine Learning

MLOps

Data governance

Stakeholder communication

Education

Bachelor's degree in Computer Science / AI / Data Science / Information Systems / Operations Research

Tools

Python

PyTorch

TensorFlow

scikit-learn

AWS SageMaker

Azure Machine Learning

Job description

Karsun Solutions is actively looking to support a modernization of digital services and accelerate delivery of healthcare and benefits programs for Veterans at the Department of Veterans Affairs. The program focuses on enterprise applications using modern development frameworks, low code/no code platforms, and cloud based SaaS and PaaS environments.

The role involves designing, developing, deploying, and maintaining ML models and pipelines, integrating with enterprise platforms through APIs, and