MLOps Engineer Amsterdam • Orange Quarter
Gevraagd
-
37 - 40 uur
-
Medior/Senior
-
Engels (taal)
Aanbod
-
Vast contract
-
Doorgroeimogelijkheden
-
Thuiswerken
Vacature in het kort
Over het bedrijf
Volledige vacaturetekst
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.
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.
- 30 days annual leave
- Opportunities for professional development and growth
- Remote working within Germany
- 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.
Vanaf nu ontvang je automatisch de best passende vacatures automatisch in je mailbox.
Jouw inschrijving
Emailadres:
Functie:
Plaats:
Frequentie:
Wijzig je inschrijving
