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