Job Description

Location: India Bangalore or Pune (Hybrid, 3 days/week) OR remote for the right candidate
Schedule: Primarily IST, with flexibility for early or late hours
Key Focus Areas:
Manage and oversee AI development tools and platforms (Razor, graph databases, vector DBs, etc.).
Support model training, model serving, and MLOps/AI Ops workflows.
Collaborate closely with AI Solution Engineers and a small team.
Discuss solutions, design architecture, and implement scalable AI/ML platform components.
Ensure smooth delivery of projects from end to end, with emphasis on platform stability and optimization.
Must-Haves:
At least 7 years of DevOps experience, ideally with strong AWS background.
Hands-on experience with AI/ML platform components and AI-related use cases.
Proficiency in AWS + Python.
Experience with RayIO / Ray Clusters, Vector DBs, Graph DBs, RAG systems.
Familiarity with GitLab and Bamboo.
Strong understanding of AI workflows and MLOps/AI Ops principles.
Ability to manage platforms, troubleshoot issues, and work cross-functionally.
Preferred:
Exposure to Razor IO and Raq use cases.
Experience managing large-scale AI/ML pipelines or distributed compute environments.
Background in implementing or optimizing graph database driven architectures.

Skills Required