Senior MLOps Engineer

Focused on building and scaling technical infrastructure for AI/ML systems, the full‑time Senior MLOps Engineer specializing in LLMOps will manage CI/CD workflows, automate model versioning, and enhance AI infrastructure in a remote environment. Key responsibilities Build reusable CI/CD workflows for model training, evaluation, and deployment Automate model versioning, approval workflows, and compliance checks across environments Continuously evaluate and integrate state‑of‑the‑art AI tools and drive AI reliability and governance Required qualifications Strong background in scalable infrastructure, including containerization and orchestration (e.g., Docker, Kubernetes) Experience with infrastructure‑as‑code and deployment tools (e.g., Terraform, CI/CD pipelines) Knowledge of ML Ops best practices, including model versioning and automated evaluation Proficiency in deploying and maintaining LLM and agentic workflows in production Ability to write high‑quality, maintainable software, primarily in Python #J-18808-Ljbffr