MLOps Engineer

6 days ago


Bengaluru, India Llp S3bglobal Technologies Full time

Job Description Key Responsibilities: Pipeline Development: - Design, build, and maintain scalable and reliable MLOps pipelines for automating the machine learning lifecycle. Model Deployment: - Deploy machine learning models into production environments using Docker and Kubernetes for robust containerized infrastructure. CI/CD Automation: - Automate continuous integration and deployment (CI/CD) processes for ML workflows using Jenkins or similar tools. Monitoring & Troubleshooting: - Monitor deployed models and pipelines using observability tools like Prometheus and Grafana; proactively identify and resolve issues. Collaboration: - Work closely with data scientists, software engineers, and DevOps teams to ensure seamless model integration, reproducibility, and performance. Governance & Best Practices: - Ensure adherence to MLOps best practices including model versioning, governance, and auditability. Infrastructure Optimization: - Continuously optimize and scale MLOps infrastructure based on evolving business and technical requirements. Required Skills & Qualifications: - 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


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