Senior MLOps Engineer Senior (5+ Years) Mumbai, India Full-time, in office Apply for this role Overview
Unico Connect is seeking a Senior MLOps Engineer to architect and operate the ML platform that powers AI delivery across client engagements. The role designs deployment patterns, observability stacks, and the AI-engineering platform that takes models from proof of concept to enterprise production. The position is well suited to senior platform engineers with deep cloud experience, hands-on Kubernetes expertise, and a track record of building developer-productivity wins for ML teams.
Key Responsibilities
• Architect the ML platform: training pipelines, model registry, feature store, deployment, and monitoring
• Design LLM ops infrastructure: prompt versioning, evaluation pipelines, cost dashboards, and fallback routing
• Lead model deployment on the Gemini Enterprise Agent Platform (formerly Vertex AI), AWS Bedrock and SageMaker, or self-hosted platforms (Modal, Ray Serve, vLLM)
• Mentor 1-2 MLOps Engineers; set MLOps standards and review pull requests against them




• Drive cost optimisation through model tiering, caching strategies, batch inference, and spot instance usage
• Partner with AI Engineers and the Tech Lead on production-readiness reviews
• Govern compliance posture for ML platform components including SOC 2, HIPAA, and GDPR requirements
• Lead capacity planning for GPU and inference workloads
• Design rollback, canary, and shadow-traffic patterns for risky model deployments
• Author internal MLOps playbooks covering incident response, drift remediation, and cost emergencies
• Run quarterly platform retrospectives and roadmap reviews

Required Qualifications
• 5+ years of MLOps or platform engineering with at least 1 production ML or LLM platform shipped
• Deep cloud experience on GCP, AWS, or both at production scale
• Strong Python; comfortable working through PyTorch, TensorFlow, or JAX internals
• Kubernetes production experience including operators (K

📌 Senior MLOps Engineer (Mumbai)
🏢 Unico Connect
📍 Mumbai