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

Benefits

- Sueldo base
- Seguro 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)
- Protegido social
- Vales de despensa quincenales

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