AI Engineer

5 days ago

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

Job Title: AI Engineering Lead

About the Role:

We are seeking a strong technical leader to spearhead the development, deployment, monitoring, and optimization of machine learning and AI-driven applications across cloud platforms.

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.
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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