MLOps EngineerConfidential • Bengaluru / Bangalore
MLOps Engineer
Confidential • Bengaluru / Bangalore
30+ days ago
Job descriptionDeploy machine learning models into production environments using Docker and Kubernetes for robust containerized infrastructure. Automate continuous integration and deployment (CI / CD) processes for ML workflows using Jenkins or similar tools. Monitor deployed models and pipelines using observability tools like Prometheus and Grafana; proactively identify and resolve issues. Work closely with data scientists, software engineers, and DevOps teams to ensure seamless model integration, reproducibility, and performance. Ensure adherence to MLOps best practices including model versioning, governance, and auditability. Continuously optimize and scale MLOps infrastructure based on evolving business and technical requirements. 3+ years of hands-on experience in MLOps or production-level machine learning deployment Strong expertise in Kubernetes and container orchestration Proficiency in building and deploying with Docker Experience setting up and managing CI / CD pipelines using Jenkins Familiarity with monitoring tools such as Prometheus , Grafana , or equivalent Solid scripting or coding experience with Python , Bash , or similar languages Exposure to ML lifecycle tools like MLflow , TFX , SageMaker , or similar (preferred) Strong communication and teamwork skills, with the ability to work across functional teams
Key Responsibilities :
Pipeline Development :
- Design, build, and maintain scalable and reliable MLOps pipelines for automating the machine learning lifecycle.
Model Deployment :
CI / CD Automation :
Monitoring & Troubleshooting :
Collaboration :
Governance & Best Practices :
Infrastructure Optimization :
Required Skills & Qualifications :
Skills Required
MLops, Kubernetes, Docker, Jenkins
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Mlops Engineer • Bengaluru / Bangalore
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