Machine Learning Engineer
This is the employer's own posting, not a copy on a job board.
What we know
Is it still open?
Confirmed still open
Last checked 17h ago — checked against the employer's own applicant tracking system, which is the company answering directly.
We re-read the employer's own applicant tracking system and the posting was still there. That is the company answering directly.
How old is it?
Posted 19d ago
The date the source published, not the day we noticed it (2026-08-27). Last seen at its source 1h ago.
Is it remote?
Marked remote on the employer's board
Their board carries a remote setting on this posting — a field they filled in, not wording we read. The location field names somewhere specific, which is usually where the team or the entity sits.
Who may apply?
Mexico
The description states no restriction of its own. This is the source's own tag.
Pay not stated
Similar roles pay $4,100–6,938/mo
Middle 50% of 14 listings that do state pay — Engineering · all levels · Mexico · USD/month. This employer has published no salary; this is what comparable listings we hold disclose, never converted between currencies or periods. How this is calculated.
Skills named in the ad
Recognised terms only, from a fixed vocabulary — this is what CV matching compares against.
Carried by 1 source
-
workable employer's own board first seen 10d ago · last seen 1h ago
The listing
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