Data & ML Platform Engineer

Data & ML Platform Engineer

Munich, Germany — Hybrid

Industrial AI | AI & Data Science | Data Engineering | MLOps | ML Infrastructure

Our client, a growing Industrial AI company based in Munich, is looking for a Data & ML Platform Engineer to develop the shared infrastructure supporting data processing, ML experimentation, model training, and production deployment.

You'll work at the intersection of Data Engineering, Machine Learning, and Platform Engineering, building reliable, scalable systems that help Data Scientists and ML Engineers develop and operate AI solutions more efficiently.

Core Skills

• 3 years in Data Engineering, ML Platform Engineering, MLOps, Data Infrastructure, or a similar role
• Python
• Apache Spark
• Apache Airflow
• MLflow
• Kubernetes
• AWS
• Terraform / Infrastructure as Code
• Experience building or operating production data pipelines or ML infrastructure

Nice to Have

Docker

PyTorch / TensorFlow

Databricks

Kafka

Kubeflow

Argo Workflows / Argo CD

CI/CD for data and ML pipelines

Model serving / inference infrastructure

Prometheus / Grafana

OpenTelemetry

Data versioning and lineage

Feature stores

Data-quality frameworks

Experience with industrial, IoT, or sensor data