MLOps Engineer Junior (1-3 Years) Mumbai, India Full time, on-site Apply for this role Overview
Unico Connect is seeking an MLOps Engineer to operate the infrastructure that takes ML and LLM models from notebooks to reliable production. The role spans CI/CD for models, observability for non-deterministic systems, deployment automation, and the platform tooling that lets AI Engineers ship faster. The position is well suited to engineers who enjoy the intersection of infrastructure, ML systems, and developer productivity.
Key Responsibilities
• Operate model deployment pipelines on the Gemini Enterprise Agent Platform (formerly Vertex AI), AWS SageMaker, or self-hosted Kubernetes
• Maintain CI/CD for ML including data validation, model training, evaluation gates, and deployment
• Build observability for production models covering latency, cost, drift, and hallucination rate
• Implement A/B and canary rollouts for ML and LLM features
• Maintain model registries, feature stores, and experiment tracking with MLflow or Weights & Biases




• Partner with AI Engineers to harden development to staging to production flows
• Govern model versioning, prompt versioning, and rollback procedures
• Author runbooks for common ML production incidents including drift and cost spikes
• Maintain Terraform modules and Kubernetes manifests for shared ML platform components
• Participate in on-call rotations for ML platform incidents

Required Qualifications
• Bachelor's degree in Computer Science or a related field
• 1-3 years of experience in MLOps, DevOps, or backend engineering with ML exposure
• Strong Python; comfortable reading PyTorch or TensorFlow code
• Hands-on with Docker, Kubernetes, and at least 1 cloud (GCP or AWS)
• Familiarity with MLflow, Weights & Biases, or comparable experiment tracking
• Working knowledge of CI/CD with GitHub Actions or Cloud Build
• Comfort reading and modifying Terraform modules
• Basic understanding of model evaluation metrics and statistical signific

📌 MLOps Engineer (Mumbai)
🏢 Unico Connect
📍 Mumbai