Lead MLOps Engineer

1 day ago

Mumbai, Maharashtra, India Zyoin Group Full time
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

- 9+ 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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