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Machine Learning Engineer

Mexico💼 Full-time🗓 2026-08-27 → 2026-09-25

Core

Configure, maintain, and monitor distributed ML training workloads on accelerator clusters using containerized environments.

Role type

ML Operations Engineer (MLOps)

Builds

Distributed ML training pipelines on multi-node accelerator clusters

Domain

Cloud Infrastructure & Machine Learning Operations

Deliverable

infrastructure

Required skills

Linux command-line operations, Python scripting, Bash scripting, Kubernetes, Docker, distributed workload monitoring, troubleshooting, log analysis

Preferred skills

YAML-based configurations, automation of workload execution

Technologies

Kubernetes, Docker, Python, Bash, Linux

Responsibilities

Configure and maintain ML environments using Kubernetes and Docker; Execute and monitor distributed ML training workloads; Review and modify scripts to automate execution; Troubleshoot workload failures and document findings; Track execution status and collaborate with engineering teams

Seniority

Mid-level, hands-on IC

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