Machine Learning Engineer

Job Summary Active TS/SCI with Polygraph clearance is required. This full‑time, on‑site position focuses on designing, implementing, and maintaining advanced data pipelines and machine learning analytics for mission‑critical systems. Key Responsibilities Implement and refactor large‑scale data pipelines, ensuring efficiency and code correctness. Monitor and optimize data science tools, supporting the transition from development to production environments. Design, implement, and enhance machine‑learning analytics using Python libraries such as PyTorch, NumPy, Pandas, and Scikit‑learn. Train, test, track, and curate models using industry standard tools and practices. Integrate GitOps continuous integration and deployment pipelines for model delivery using Docker. Build and deploy applications on AWS services (EC2, S3, RDS). Integrate model and tool outputs within Computer Network Defense (CND) systems and related software tools to enhance security management capabilities. Document processes and code; provide comprehensive reports on completed tasks. Required Experience Python Docker Kubernetes Desired Experience AWS Machine Learning Qualifications 14 years of experience as a software engineer. Bachelor’s degree in a technical discipline (4 additional years of software engineering experience may substitute for a degree). Compensation & Benefits Salary: $220,000 – $230,000 annually. Benefits include 25 days PTO, 11 paid holidays, 100% employer‑paid healthcare for employees and dependents, 8% 401(k) employer match with immediate vesting. EEO Statement Shield Consulting Solutions is an equal‑opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected veteran status, age, or any other characteristic protected by law. #J-18808-Ljbffr Shieldconsulting