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MLOps Engineer

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Onsite

MLOps Engineer

ALTEN

MLOps Engineer

Skills

DockerPythonKafkaGitLabJenkinsGrafanaMachine LearningAIPrometheusLinuxKubernetesTerraform

14 days ago

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Important information


Contract type:

Permanent

Location:

Bucharest, Romania

Work mode:

Onsite

Published on:

7 October 2026

What they need


ALTEN Romania is part of the ALTEN Group, a leader in IT and Engineering Consulting. We develop innovative and sustainable technical solutions that meet the needs of our local and international partners.

About the role:

We are looking for an MLOps Engineer to join the AI Platform team and support the deployment, operation, and scalability of AI/ML solutions. The role focuses on Kubernetes-based infrastructure, ML platforms, CI/CD automation, observability, and the transition from Domino DataLab to OpenShift AI.

To ensure success in this role, you need the following experience and skills:

  • 5+ years of experience in MLOps, DevOps, Platform Engineering, or SRE roles;
  • Strong Kubernetes administration and operations experience;
  • Hands-on experience with Docker, Git, Python, Terraform and/or Helm;
  • Experience with CI/CD tools (Jenkins, GitLab CI or similar);
  • Knowledge of ML lifecycle and MLflow;
  • Experience with monitoring and observability tools (Prometheus, Grafana);
  • Good Linux administration skills;
  • Fluent English.

A typical day might include the following:

  • Deploy and operate ML workloads in Kubernetes/OpenShift environments;
  • Build and maintain ML CI/CD pipelines and model deployment processes;
  • Manage ML platforms and infrastructure as code (Terraform/Helm);
  • Monitor platform health and model performance using Prometheus and Grafana;
  • Support AI services and LLM inference platforms running on GPU infrastructure;
  • Contribute to platform reliability, scalability, security, and automation.

Nice to have:

  • OpenShift / OKD;
  • Domino DataLab;
  • vLLM, Triton Inference Server, or TGI;
  • NVIDIA GPU infrastructure and CUDA fundamentals;
  • OpenTelemetry;
  • Apache Spark or Kafka;
  • French language.

Only eligible candidates will be contacted within a maximum of 2 weeks. Any information provided is treated as confidential.

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