Visionary ML System Architect

1 day ago

Mumbai, Maharashtra, India beBeeMlSystem Full time ₹ 15,00,000 - ₹ 20,00,000
End-to-End ML System Architect

Lead the development, deployment, and monitoring of machine learning and data-driven applications across cloud platforms. Collaborate with data scientists, engineers, and business stakeholders to ensure scalable, secure, and highly available ML systems.

Key Responsibilities:
  • Develop and implement end-to-end ML 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.
  • Design and develop data processing workflows using Python and PySpark on distributed systems.
  • Implement observability using tools like Grafana, NewRelic, and cloud-native monitoring solutions.
Required Skills and Qualifications:

Technical Skills:
  • 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.
Soft Skills:
  • Experience mentoring teams and driving end-to-end project execution.
  • Ability to create REST APIs using FastAPI, Flask, or Django.


This is an exciting opportunity for a seasoned MLOps professional to lead and shape the future of our organization's AI capabilities.

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