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.
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 train...
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.
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