Senior MLOps Engineer

A company is looking for a Senior ML Ops Engineer to manage the end-to-end ML lifecycle for a custom-built inference platform. Key Responsibilities Build, maintain, and optimize production-grade ML pipelines for seamless transitions from experimentation to production Define and implement strategies for model versioning, rollout, rollback, and lifecycle management Collaborate cross-functionally to translate ML requirements into production-ready systems and influence technical planning Required Qualifications Bachelor's or Master's degree in Computer Science, Data Science, or a related field, or equivalent experience 5-8+ years of experience in Software Engineering, ML Engineering, Platform Engineering, or Infrastructure Engineering Hands-on experience deploying and maintaining LLMs and deep learning models in production environments Strong Python skills and familiarity with ML frameworks (PyTorch, TensorFlow or similar) Experience with cloud platforms such as AWS, GCP, or Azure, and familiarity with ML lifecycle tooling