ML Infrastructure Operations Engineer

This is a fully remote position, open to applicants in Mexico.

📋 Description

• Set up and manage ML environments utilizing Kubernetes, Docker, and YAML configurations.

• Execute, monitor, and validate distributed ML training jobs across multi-node accelerator clusters.

• Review, modify, and run Python and Bash scripts to automate job execution and adjust runtime settings.

• Diagnose workload failures, gather logs, pinpoint infrastructure or configuration issues, and document results.

• Monitor workload execution status, update on testing progress, and work collaboratively with engineering teams to enhance reliability and operational efficiency.

⛳️ Requirements

• Over 3 years of experience in ML Operations, Software Testing, Systems QA, Linux Systems Administration, or a similar technical role.

• Strong command of Linux command-line operations and shell environments.

• Experience in reading and modifying Python and Bash scripts.

• Familiarity with Kubernetes, Docker, and containerized environments.

• Experience in executing and monitoring distributed workloads.

• Proficiency in English: C1

🏝️ Benefits

• Base salary

• Major Medical Expenses Insurance (includes dental and vision plan)

• 15 days of holiday bonus

• 25% vacation premium

• 12 days of vacation (starting from the first year)

• Social security

• Biweekly grocery vouchers