Machine Learning Engineer

📋 Job Overview

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.

🏢 About ALTEN

ALTEN is a global leader in Engineering and IT Services, supporting customers in innovation, R&D, and technological information systems. Established over 36 years ago, ALTEN operates in 30 countries and collaborates with key industry players across various sectors including Aeronautics, Defence, Automotive, Energy, and more. The company boasts a financial turnover of over 4.07 billion euros in 2023 and employs more than 57,000 professionals worldwide.

🎯 The Role

As an ML Operations Engineer, you will be responsible for configuring and maintaining ML environments, executing and monitoring distributed ML training workloads, and troubleshooting any issues that arise. You will collaborate with engineering teams to improve reliability and operational efficiency.

✅ Key Responsibilities

• 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.

📌 Required Qualifications

• 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

🛂 Visa & Eligibility

No specific visa or eligibility information provided.