Lead MLOps Engineer

Job Title : MLOps Lead

Location : Mumbai (Mahape)

Work Mode : 4 Days WFO & 1 Day WFH

Notice Period : Immediate – 30 Days

About the Role

We are looking for a Lead MLOps Engineer to spearhead the design, deployment, monitoring, and optimization of machine learning and AI-driven applications across cloud platforms. This role requires a strong technical leader who can collaborate with cross-functional teams, ensure scalability, and drive production-ready ML solutions.

Key Responsibilities

• Lead end-to-end ML pipeline development, deployment, and monitoring across GCP & Azure .
• Independently design and build MLOps solutions from scratch .
• Develop and maintain CI / CD pipelines (ArgoCD, GitHub Actions, GitLab CI, Docker).
• Automate & optimize ML model training, validation, deployment, and scaling using Kubernetes / Kubeflow .
• Design data processing workflows using Python & PySpark on distributed systems.
• Implement observability & monitoring with tools like Grafana, NewRelic, Prometheus .
• Transition research models into production-grade solutions in collaboration with Data Scientists.
• Guide and mentor junior engineers, conduct code reviews , and enforce coding best practices.
• Manage Infrastructure as Code (IaC) for reproducibility and scalability.
• Work with AI, RAG-related development, GPUs, and AI platforms .
• Exposure to Vertex AI Pipeline or similar cloud ML pipelines is a plus.

Required Skills & Experience

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Skills Required

Newrelic, Pyspark, Prometheus, Grafana, Django, Gcp, Docker, Flask, FastAPI, Rest Apis, Azure, Kubernetes, Python