Role       : ML Engineer Location: Columbus, OH Duration: 3 to 6 months (Contract to Hire) MOI       : Teams & MS Teams Primary Skills: Docker, Kubernetes, ML and Helm Need GC & Citizens with a Minimum of 9 Years of Experience. Job Description: Responsibilities: • Build and maintain secure, scalable infrastructure for ML model training, testing, and deployment using open-source tools. • Create reusable deployment templates that standardize the path to production across teams. • Translate prototype models into resilient, monitored, and observable production systems. • Implement guardrails and controls that ensure compliance with internal standards (e.g., SR 11-7, ISO 42001). • Partner with data scientists to simplify onboarding to platform capabilities. • Establish CI/CD pipelines with hooks for testing, scanning, and validation of model code and artifacts. • Serve as a technical lead for cross-functional delivery efforts involving model onboarding and platform integration. Required Qualifications: • 6+ years of experience in software, data, or ML engineering roles. • Strong hands-on experience with tools like MLflow, Metaflow, Airflow, or similar orchestration frameworks. • Production experience with Kubernetes, Docker, and Helm. • Deep understanding of Python and software engineering best practices. • Experience implementing CI/CD pipelines and infrastructure-as-code in a cloud or hybrid environment. Preferred Qualifications: • Experience working in regulated industries or environments with strong risk and compliance expectations. • Familiarity with open-source model monitoring, drift detection, or lineage tools (e.g., Evidently AI, Feast, LakeFS). • Hands-on experience serving models using KServe, Ray Serve, or Triton Inference Server. • Familiarity with enterprise security tools like Trivy, Aqua, or Snyk for code and container scanning. • Exposure to LLM/RAG architecture or GenAI platform integration.