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Machine Learning Engineer

Discussion

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

Skills

See also

ML / AI jobs by country — openings, pay and top skills →

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