ML Infrastructure Operations Engineer
Posted 1hrs ago
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Job Description
ML Infrastructure Operations Engineer configuring Kubernetes and Docker environments for ALTEN’s engineering and IT services projects. Monitoring distributed training workloads and automating operations with Python and Bash.
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.
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


















