Lead MLOps Engineer

3 days ago

Mumbai, Maharashtra, India Zyoin Group Full time

Job Title: MLOps LeadLocation: Mumbai (Mahape)Work Mode: 4 Days WFO & 1 Day WFHNotice Period: Immediate – 30 DaysAbout the RoleWe 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 ResponsibilitiesLead 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 & Experience9+ years of hands-on experience in MLOps.Strong coding expertise in Python & PySpark .Proven experience with GCP & Azure (compute, storage, networking).Proficiency in Docker, Kubernetes , and container orchestration.Experience with ML lifecycle management, versioning, and monitoring .Hands-on with MLFlow for model versioning.Ability to build REST APIs (FastAPI / Flask / Django).Strong problem-solving, communication, and stakeholder management skills.Demonstrated experience in mentoring and leading teams.

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