Job Title

Our client is looking for a senior DevOps engineer to build, manage, and scale AI/ML platforms on AWS. This role focuses on MLOps/AI Ops, distributed compute (Ray), and modern data stores like vector and graph DBs. You’ll collaborate closely with AI Solution Engineers to design and deliver stable, high-performance AI systems. Ideal candidates bring strong AWS, Python, and hands-on AI platform experience.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.