Senior Cloud Machine Learning Solutions Architect

6 days ago

Mumbai, Maharashtra, India beBeeMachineLearning Full time ₹ 15,00,000 - ₹ 20,00,000

About the Role

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

Key Responsibilities:

  • Develop end-to-end ML pipelines for deployment and monitoring on GCP & Azure.
  • Create MLOps solutions from scratch and automate model training, validation, deployment, and scaling using Kubernetes/Kubeflow.
  • Design data processing workflows using Python and PySpark on distributed systems.
  • Implement observability and monitoring with tools like Grafana, NewRelic, Prometheus.
  • Transition research models into production-grade solutions in collaboration with Data Scientists.
  • Guide junior engineers, conduct code reviews, and enforce coding best practices.
  • Manage Infrastructure as Code (IaC) for reproducibility and scalability.

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 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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