Senior Machine Learning Engineer

2 days ago

Mumbai, Maharashtra, India beBeeMachine Full time ₹ 1,50,00,000 - ₹ 2,50,00,000
Senior Machine Learning Engineer - Cloud Deployment Specialist

We are seeking an experienced Senior Machine Learning Engineer to spearhead the design, deployment, and monitoring of machine learning and AI-driven applications across cloud platforms. As a seasoned technical leader, you will collaborate with cross-functional teams, ensure scalability, and drive production-ready ML solutions.

  • Lead end-to-end ML pipeline development, deployment, and monitoring across Google Cloud Platform (GCP) and Microsoft Azure.
  • Independently design and build MLOps solutions from scratch.
  • Develop and maintain Continuous Integration/Continuous Deployment (CI/CD) pipelines using ArgoCD, GitHub Actions, GitLab CI, and Docker.
  • Automate and optimize ML model training, validation, deployment, and scaling using Kubernetes and Kubeflow.
  • Design data processing workflows using Python and PySpark on distributed systems.
  • Implement observability and monitoring with tools like Grafana, NewRelic, and 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.
  • Collaborate with AI, Research and Development (RAG)-related development, GPUs, and AI platforms.

Required Skills & Experience:

  • 9+ years of hands-on experience in MLOps.
  • Strong coding expertise in Python and PySpark.
  • Proven experience with GCP and Azure (compute, storage, networking).
  • Proficiency in Docker, Kubernetes, and container orchestration.
  • Experience with ML lifecycle management, versioning, and monitoring.
  • Hands-on experience with MLFlow for model versioning.
  • Ability to build REST APIs using FastAPI, Flask, or Django.
  • Strong problem-solving, communication, and stakeholder management skills.
  • Demonstrated experience in mentoring and leading teams.

What We Offer:

A challenging role that demands technical leadership and innovation, coupled with opportunities for growth and professional development.

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