ML Engineer

Why Karsun? Join Karsun Solutions to grow your career with the company transforming possible for the US Government. At Karsun, collaboration drives our community. We're committed to building an environment where team members from diverse backgrounds can innovate, learn and grow with us. Here at Karsun, the only limit to your potential is the limit of your curiosity. Join Team Karsun, and Find Your Next! 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. Candidates will support a program focused on expanding the Digital Transformation Center's ability to deliver enterprise applications using modern development frameworks, low code and no code platforms, and cloud based SaaS and PaaS environments. 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 platform environment. This position is a contingent opportunity. Prefer candidates local to the DMV Area and willing to be onsite two days per week. What You'll Be Doing: - 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, aligned with business requirements and data governance. - Lead model integration with the DTC enterprise platforms (Salesforce/MuleSoft, Microsoft Power Platform/Dynamics, Pega, Box, Appian) through APIs and reusable components. - Lead model performance monitoring, including drift detection, retraining, and validation, so solutions stay reliable and compliant after deployment. - 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. Required Qualifications: - Bachelor's degree in Computer Science, Artificial Intelligence, Data Science, Information Systems, Operations Research, or a related field, plus a minimum of 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. Preferred Qualifications: - 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. Things to Know: Commitment to Non-Discrimination All qualified applicants will receive consideration for employment without regard to disability, status as a protected veteran or any other status protected by applicable federal, state, local, or international law. Salary Range