Remote ML Infrastructure Operations Engineer

Description:

• Configure and maintain ML environments using Kubernetes, Docker, and YAML-based configurations.
• Execute, monitor, and validate distributed ML training workloads across multi-node accelerator clusters.
• Review, modify, and execute Python and Bash scripts to automate workload execution and adjust runtime configurations.
• Troubleshoot workload failures, collect logs, identify infrastructure or configuration issues, and document findings.
• Track workload execution status, communicate test progress, and collaborate with engineering teams to improve reliability and operational efficiency.

Requirements:

• 3+ years of experience in ML Operations, Software Testing, Systems QA, Linux Systems Administration, or a related technical role.
• Strong proficiency with Linux command-line operations and shell environments.
• Experience reading and modifying Python and Bash scripts.
• Familiarity with Kubernetes, Docker, and containerized environments.
• Experience executing and monitoring distributed workloads.
• English proficiency at C1 level.

Benefits:

• Base salary.
• Major Medical Expenses Insurance (includes dental and vision plan).
• 15 days of Christmas bonus.
• 25% vacation bonus.
• 12 vacation days (starting from the first year).
• Social security.
• Biweekly grocery vouchers.