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) Apply job Current openings ; translateY: [48, 0]; opacity: [0, 1]; easing: spring(1, 80, 10, 0); duration: 450; delay: anime.stagger(100, {start: 200});"> Senior Frontend Engineer, Core Remote (Global) Apply now Senior Frontend Engineer, AI Remote (Global) Apply now Senior Python Engineer, Growth Hybrid — In-house (Primary) / Remote Apply now Director of Accounting In-house (Head Office) Apply now Director, Marketing Operations In-house (Preferably) / Remote Apply now Team Lead, Data Science Remote (General)



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