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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📌 ML Infrastructure Engineer (Mexicali)
🏢 Awake Solutions
📍 Mexicali