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Hiring For Lead MLOps Engineer at Mumbai Work location

2 weeks ago

Mumbai, Maharashtra, India Glauben Technologies Full time US$ 1,25,000 - US$ 1,75,000 per year

Only Face to Face Interview at Mumbai Mahape L&T Finance office

About the Role:

We are looking for a Lead MLOps Engineer who will lead and support the end-to-end deployment, monitoring, and optimization of machine learning and data-driven applications across cloud platforms. You will collaborate with data scientists, engineers, and business stakeholders to ensure scalable, secure, and highly available ML systems.

Key Responsibilities:

  • Be a hands-on contributor capable of independently designing and developing complete MLOps solutions from scratch.
  • Lead end-to-end ML pipeline development, deployment, and monitoring across GCP and Azure.
  • Build and maintain CI/CD pipelines using tools like ArgoCD, Git, and Docker.
  • Automate and optimize ML model training, validation, deployment, and scaling using Kubernetes, Kubeflow, or similar orchestration platforms.
  • Develop data processing workflows using Python and PySpark on distributed systems.
  • Implement observability using tools like Grafana, NewRelic, and cloud-native monitoring solutions.
  • Collaborate with Data Scientists to transition research into production-grade solutions.
  • Guide and mentor junior engineers, enforce coding standards, and conduct code reviews.
  • Demonstrate business understanding to align ML pipelines with product goals.
  • Manage infrastructure as code (IaC) for reproducibility and scalability.
  • Exposure to AI and RAG related development and various GPU and AI Platform required.

Required Skills & Experience:

  • 9+ years of hands-on experience in MLOps roles.
  • Strong proficiency in Python and PySpark with clean and scalable code practices.
  • Expertise in GCP and Azure cloud platforms including compute, storage, and networking components.
  • Proven experience in deploying and managing containerized applications using Docker and Kubernetes.
  • Hands-on with CI/CD tools preferably ArgoCD, GitHub Actions, or GitLab CI.
  • Experience in monitoring, logging, and alerting using tools such as Grafana, NewRelic, Prometheus, or similar.
  • Understanding of ML model lifecycle, versioning, and performance monitoring.
  • Should be able to versioning model into MLFLow,
  • Should be able to create REST APIs using Fast API , Flask or Django
  • Strong problem-solving, communication, and stakeholder management skills.
  • Experience mentoring teams and driving end-to-end project execution.