HubMub
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Cegeka

Machine Learning Operations Engineer

Cegeka
Romania · Full-time · Mid-Senior

About the Role

We are looking for an MLOps Engineer to help operationalize machine learning solutions and build reliable, scalable ML platforms.


Responsibilities

  • Build and maintain ML deployment pipelines.
  • Automate model training, testing, and monitoring processes.
  • Collaborate with Data Scientists and Engineering teams.
  • Manage ML infrastructure and environments.
  • Ensure model reliability, scalability, and performance in production.


Requirements

  • Experience with Python and machine learning workflows.
  • Knowledge of CI/CD practices for ML systems.
  • Experience with Docker and Kubernetes.
  • Experience with cloud platforms such as Azure, AWS, or GCP.
  • Familiarity with ML lifecycle management tools.


Nice to Have

  • Experience with MLflow, Kubeflow, SageMaker, or Azure ML.
  • Knowledge of monitoring and observability practices for machine learning systems.

Key Skills

Ranked by relevance

machine learning kubeflow python docker mlflow cloud mlops cicd aws
Login to Apply
Posted
Jun 17, 2026
Type
Full-time
Level
Mid-Senior
Location
Bucharest
Company
Cegeka

Industries

IT Services IT Consulting IT System Operations Maintenance

Categories

Business Development

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