MLOps Engineer

H i , I hope you are d oing great. Please s hare your u pdated resume if you want to apply for the position below. Job Title MLOps Engineer Location Bengaluru (Onsite) Interview Mode- Video Duration: 6 Months Contract to hire Position Overview Experience: 3+ years in MLOps About the Role We are seeking a strong and hands-on MLOps Engineer to join our team and work onsite at our client s office in Bengaluru . The ideal candidate will have deep experience in deploying and managing machine learning models in production environments, with a solid grasp of MLOps principles and tools. Key Responsibilities Design, build, and maintain scalable and reliable MLOps pipelines. Deploy machine learning models to production using Docker and Kubernetes . Automate CI/CD processes for ML workflows using Jenkins . Monitor and troubleshoot deployed models using Prometheus and other observability tools. Collaborate with data scientists, engineers, and DevOps teams to ensure smooth model integration and performance. Ensure model versioning, reproducibility, and governance best practices are followed. Optimize and scale MLOps infrastructure based on business and technical requirements. Required Skills Qualifications 3+ years of hands-on experience in MLOps or ML model deployment in production. Strong experience with Kubernetes and container orchestration. Proficient in building and deploying with Docker . Experience setting up and managing CI/CD pipelines using Jenkins . Good understanding of monitoring tools like Prometheus , Grafana, etc. Solid scripting/coding experience with Python, Bash, or similar. Familiarity with ML lifecycle tools (MLflow, TFX, SageMaker, etc.) is a plus. Strong communication skills and ability to work in cross-functional teams.