ML Infrastructure Operations Engineer
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Description 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) Seguro social Vales de despensa quincenales
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