Senior ML Engineer – Enterprise Health/VA, Onsite 2x/wk

Karsun Solutions, LLC; Oklahoma; Hybride; USD 160 000 - 180 000; Plein temps

Résumé du poste

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 objective is to deliver digital capabilities that support both Veteran healthcare services and benefits programs.

The program supports multiple concurrent low code/no code products serving a wide-range of users, while maintaining reliability, security, and delivery speed across a complex enterprise

Qualifications

• Bachelor's degree in Computer Science, AI, DS, or related field.
• 7+ years of relevant experience; 10 years may substitute for degree.
• Experience designing, deploying, and maintaining ML models in production.
• Ability to obtain VA Public Trust clearance.
• Available on contract award and willing to sign commitment.

Responsabilités

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

Connaissances

ML model deployment

Production ML

MLOps tooling

Python

Cloud ML platforms

Formation

Bachelor's degree in CS/AI/DS

Outils

AWS SageMaker

Azure ML

PyTorch

TensorFlow

scikit-learn

Description du poste

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 objective is to deliver digital capabilities that support both Veteran healthcare services and benefits programs.

The program supports multiple concurrent low code/no code products serving a wide-range of users, while maintaining reliability, security, and delivery speed across a complex enterprise