Machine Learning Ops Engineer

Agnito Technologies is Hiring: Machine Learning Ops Engineer (MLOps) Location: Bhopal (Work From Office) Vacancy: 1 Experience: 5+ years managing ML pipelines in production Package: No bar for the right candidate Key Responsibilities: Design, implement, and manage end-to-end machine learning pipelines in production environments Automate model deployment workflows using CI/CD tools Containerize ML models and services with Docker and orchestrate them using Kubernetes Work with platforms like MLflow, Kubeflow, and Seldon for experiment tracking and model management Deploy and monitor models in AWS SageMaker or similar cloud environments Collaborate with data scientists, DevOps, and software engineers to ensure smooth production rollouts Key Skills: MLflow, Kubeflow, Seldon Docker, Kubernetes CI/CD for ML models AWS SageMaker or equivalent cloud ML platforms Strong understanding of MLOps principles and real-time production deployment Eligibility: 5+ years of hands-on experience in managing ML pipelines and deployments Proven experience in MLOps tools and practices in production environments Job Type: Full-time Schedule: Day shift Work Location: In person