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 **** and we currently have more than ****** 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
#J-*****-Ljbffr

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