ALTEN supports its customers’ development strategies in the areas of innovation, R&D; and technological information systems.

Created more than 36 years ago and based in 30 countries, the Group has established itself as a world leader in Engineering and IT Services.
We work with key actors in the Aeronautics & Space, Defence & Naval, Security, Automotive, Rail, Energy, Life Sciences, Finance, Retail, Telecommunications and Services sectors.

With a financial turnover of more than 4.07 billion euros in 2023 and we currently have more than 57 000 employees all over the world.

Key responsabilities:

- 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: C1

- Sueldo base

- Protegido de Gastos Médicos Mayores (incluye plan dental y visión)

- 15 días de aguinaldo

- 25% de prima vacacional

- 12 días de vacaciones (A partir del primer año)

- Seguro social

- Vales de despensa quincenales

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📌 ML Infrastructure Operations Engineer (Ciudad de México)
🏢 Alten Mexico
📍 Ciudad de México