ML Infrastructure Operations Engineer

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. • Fami