Machine Learning Engineer

ALTEN MÉXICO Open · verified Oct 24, 2026

Remote Mexico Full-time Mid-level Machine Learning Engineering

At a glance

Mid-level Machine Learning Engineering role at ALTEN MÉXICO. Remote, Mexico · full-time.

Pay not stated Machine Learning Engineer salary

RoleMachine Learning Engineering

SeniorityMid-level

LocationMexico

WorkplaceRemote

EmploymentFull-time

PostedAug 27, 2026 · 8w ago

Role brief

remoteroles summary, based on the employer's posting.

What you'll do

Set up and maintain ML environments with Kubernetes, Docker and YAML configuration files
Run distributed ML training on multi-node accelerator clusters, then monitor progress and check results
Adjust Python and Bash scripts to automate workload runs and change runtime settings
Investigate failed runs by gathering logs, tracing infrastructure or configuration problems, and recording findings
Share execution updates with engineering teams and help improve workload reliability and operating efficiency

What you bring

At least three years in ML operations, software testing, systems QA, Linux administration or a related technical role
Strong command of Linux terminals and shell environments
You can read and change Python and Bash scripts, and have worked with Kubernetes, Docker and containers
Experience running and monitoring distributed workloads, plus C1-level English

Who this fits

This mid-level role suits someone with hands-on Linux and distributed workload experience who can also work with ML environments and scripts. The position is remote in Mexico.

From the employer

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