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We are looking for a
ML Infrastructure Engineer
Design and operate scalable infrastructure for training and serving large ML workloads, focusing on cost-efficiency, reliability and reproducibility.
Tasks:
- Architect and maintain scalable GPU/TPU clusters and provisioning workflows.
- Implement data storage, versioning and feature store infrastructure.
- Automate capacity planning, cost controls and job scheduling for training workloads.
- Collaborate on security, multi-tenancy and access patterns for research infra.
Requirements:
- 4+ years in infra engineering with experience in cloud GPU/accelerator environments.
- Experience with cluster orchestration, provisioning and performance tuning.
- Familiarity with storage systems, feature stores and large-data workflows.
- Strong scripting and automation skills (Python, Bash, Terraform).
Benefits:
Competitive salary + equity
GPU/TPU credits & dedicated research budget
Conference & training support
Home office & equipment stipend
Job details
Job type
Full-time
Location
Hybrid — In-house (Primary) / Remote
Salary
₹130k – ₹210k INR (depending on experience)
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