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MLOps Engineer

MLOps Engineer

Germany, Remote, Permanent

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Join an innovative SaaS Silicon-Valley company that is revolutionising how large and renowned organisations leverage data. Our client is looking for a MLOps Engineer to support the end-to-end deployment and maintenance of machine learning solutions. This role focuses on bridging data science and operations to ensure seamless, scalable ML integrations for hundreds of clients.

Industry:

OQ-industries Artificial Intelligence
OQ-industries E-commerce
OQ-industries Machine Learning
OQ-industries SaaS
OQ-industries Software
Tech

What to expect:

In this role, you will design scalable infrastructure for ML products, working with data, DevOps, and product teams to refine and deploy models efficiently. Working closely with cross-functional teams, you will be optimising processes for model training, testing, and deployment. You will set up monitoring for production models to ensure reliability, optimise resources for cost-effective training and inference, and uphold security and compliance standards. Staying updated on ML and infrastructure trends, you’ll also contribute to team innovation.

Perks:

  • 30 days annual leave
  • Opportunities for professional development and growth
  • Remote working within Germany

Requirements:

  • 5+ years in data science, DevOps, or data engineering
  • Skilled in ML frameworks (e.g., MLFlow, Kubeflow) and infrastructure-as-code.
  • Proficient with AWS and Databricks; familiar with CI/CD in cloud-based environments.
  • Knowledge of scheduling/orchestration tools like Airflow, Argo Workflows, or Kubernetes for ML
  • Experience with monitoring tools (e.g., Datadog, Prometheus) and a security-focused mindset.

Sounds good?

Apply now
For more information, connect with our specialised team member on LinkedIn Sonata Zizmaraite

MLOps Engineer

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