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Senior Machine Learning Engineer

5 hours, 43 minutes ago
Europe, Bulgaria, Poland, Romania
Senior
Machine Learning Engineer
Software Development
Apache Airflow Docker GCP Git GitHub Actions Kubeflow Kubernetes Machine Learning MLOps Python Terraform Vertex AI
Apply Now
Xebia

Xebia

Xebia is a pioneering IT consultancy company specializing in Continuous Delivery, DevOps, Agile Consulting, and Digital Transformation Services, creating digital leaders through innovative solutions.

Internet Software & Services
1K-5K
Founded 2008
View All Jobs 3

Description

  • Build reproducible ML training and deployment pipelines on Vertex AI, including Pipelines, Model Registry, and Endpoints.
  • Own and maintain the feature store so features are defined once, reused across teams, and kept consistent between training and serving.
  • Automate the model lifecycle with CI/CD, testing, and controlled rollouts to enable safe model deployments.
  • Monitor models in production by implementing model and data monitoring, drift detection, and business-impact alerts.
  • Version datasets and feature definitions in Git to ensure data and model lineage, traceability, and reproducibility.
  • Work closely with Data Scientists and Google Cloud engineers to improve MLOps maturity and scale automated workflows.

Requirements

  • 3+ years of experience in ML Engineering, MLOps, Platform Engineering, or Data/Infrastructure roles supporting production machine learning.
  • Strong Python skills and solid software engineering fundamentals, including testing, version control, and code reviews.
  • Hands-on experience with cloud platforms, ideally Google Cloud Platform and Vertex AI (Pipelines, Feature Store, Model Registry, Model Monitoring).
  • Experience with containers, CI/CD, and infrastructure as code, such as Docker, Kubernetes, Terraform, and GitHub Actions.
  • Experience with model monitoring, observability, and drift detection in production environments.
  • Work from the European Union region and hold a valid work permit.
  • Experience with feature stores such as Vertex AI Feature Store or Feast is a plus.
  • Experience with orchestration tools such as Kubeflow or Airflow is a plus.
  • Background in high-throughput, low-latency systems such as real-time bidding or adtech is a plus.
  • Interest in ML foundations for dependable agentic AI, including clean data, observability, and reliable serving, is a plus.

Interested in this position?

Apply directly on the company website

Apply Now

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