AI Engineer ML ops

MLOps Engineer / Developer Snapshot Experience: 4–6 years in ML/AI engineering or DevOps Reports To: MLOps Technical Lead / Manager, AIML Education: B.E./B.Tech in CS, Software Engineering, or Data Science About the Role Build and operate the MLOps pipelines that take AI/ML and GenAI models from experimentation to production — packaging, CI/CD delivery, model serving, and monitoring. A hands-on engineering role bridging data science and enterprise deployment. Key Responsibilities • Build end-to…