Data Engineer, ML Platform & MLOps for Regulated MedTech

Moonlight Ai GmbH; Basel; Hybrid; CHF 120.000 - 170.000; Vollzeit

Zusammenfassung

Moonlight Ai GmbH in Basel is seeking a Data Engineer to build core data, ML, and deployment infrastructure for scalable, traceable clinical diagnostics systems. You will work across data engineering, MLOps, and ML platform development in a regulated environment to ensure data digitization quality from ingestion to inference.

Responsibilities include building ingestion pipelines for multi-modal datasets, collaborating on data warehouse quality, enabling model training, evaluation, deployment,

Qualifikationen

• 4+ years building scalable pipelines for large-scale structured and unstructured data.
• Experience with Infrastructure-as-Code (IaC) e.g. Terraform, CloudFormation.
• Experience with distributed or high-performance data processing with reproducible, version-controlled infrastructure.
• 2+ years developing data or ML systems in a regulated environment with reproducibility, auditability, and data governance.
• Fluent in Python and familiar with PyTorch or TensorFlow.
• Effective communication (English) and interpersonal skills.
• Valid work permit in Switzerland or EU and availability to travel to Tunisia.
• Exposure to ISO 27001 / ISO 13485 is a plus.
• Exposure to Software as a Medical Device (SaMD) or clinical integrations is a strong plus.

Aufgaben

• Build robust data ingestion pipelines for multi-modal datasets consisting of gigapixel images paired with genomic results and clinical metadata.
• Together with the Software Engineer, design unit testing, logging, and controls for a complete data warehouse spanning structured and unstructured data.
• Ensure data quality, consistency, and traceability by authoring the ML platform for training, evaluation, deployment, and monitoring.
• Develop FDA- and IVDR-compliant frameworks for dataset access control, model versioning, and experiment tracking.
• Innovate on existing image processing methods in collaboration with ML Engineers.
• Develop containerized, production-grade services for model inference in on-prem, cloud, or OEM contexts.

Kenntnisse

Data pipelines

MLOps

Data modeling

Experiment tracking

Python

English communication

Tools

Terraform

CloudFormation

Jobbeschreibung

Moonlight Ai GmbH in Basel is seeking a Data Engineer to build core data, ML, and deployment infrastructure for scalable, traceable clinical diagnostics systems. You will work across data engineering, MLOps, and ML platform development in a regulated environment to ensure data digitization quality from ingestion to inference.

Responsibilities include building ingestion pipelines for multi-modal datasets, collaborating on data warehouse quality, enabling model training, evaluation, deployment,