ML Ops Engineer (Noida)

ML Ops Engineer (Noida)

12 Oct
|
CloudKeeper
|
Noida

12 Oct

CloudKeeper

Noida

Designation: Lead MLOps Engineer (GPU Optimization)

About CloudKeeper

CloudKeeper is a cloud cost optimization partner that combines the power of group buying & commitments management, expert cloud consulting & support, and an enhanced visibility & analytics platform to reduce cloud cost & help businesses maximize the value from AWS, Microsoft Azure, & Google Cloud.

A certified AWS Premier Partner, Azure Technology Consulting Partner, Google Cloud Partner, and FinOps Foundation Premier Member, CloudKeeper has helped 350+ global companies save an average of 20% on their cloud bills, modernize their cloud set-up and maximize value — all while maintaining flexibility and avoiding any long-term commitments or cost.

CloudKeeper hived off from TO THE NEW, a digital technology service company with 2500+ employees and an 8-time GPTW winner.

To know more, please visit - https://www.cloudkeeper.com/

Responsibilities





• Drive R&D; and engineering for AI Infrastructure optimization within CloudKeeper's FinOps for AI platform — building the Tuner AI / Commit AI capability on GPU and ML workloads
• Design and build optimization engines for GPU right-sizing, idle shutdown, spot migration with checkpoint/resume automation, inference batching, quantization, and model placement
• Extend the optimization stack to LLM-era workloads — caching, model routing, agile batching, prompt optimization, RAG-aware architectures
• Partner with the Lens AI team to translate GPU and ML workload signals into actionable, dollar-quantified optimization recommendations for customers
• Work cross-functionally with product, platform, and customer success teams to ship optimization features end-to-end (data ingestion → optimization engine → customer-facing recommendation)
• Lead technical direction for AI workload optimization, set engineering standards, and mentor the ML / MLOps engineering bench as the AI Infrastructure pillar scales
• (Lead level) Hire, ramp, and grow a team of ML infrastructure

📌 ML Ops Engineer (Noida)
🏢 CloudKeeper
📍 Noida

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