20 beste Stellen als machine learning training infrastructure – aktuell auf Personalsuche

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Ich möchte aktuelle Job-E-Mails für Stellen als machine learning training infrastructure erhalten

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Data engineer

Swiss Biotech Association
Basel, BS

Jetzt bewerben

Details zur Stelle

vor 3 Tagen

Qualifikationen

Englisch
Terraform
Kommunikationsfähigkeit
Python

Vollständige Stellenbeschreibung

As a Data Engineer, you will build and implement the core data, ML, and deployment infrastructure that enables scalable, reproducible, and traceable machine learning systems for use in clinical diagnostics. In addition, your code will ensure the traceability and quality of all digitized data from ingestion to research, model development, clinical validation, and inference. This high-impact role spans data engineering, MLOps, and ML platform development in a regulated environment.

Responsibilities:

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 to ensure a high-quality and complete data warehouse spanning structured and unstructured data
Ensure data quality, consistency, and traceability by authoring the ML platform that enables training, evaluation, deployment, and monitoring of ML models
Develop FDA- and IVDR-compliant frameworks for dataset access control, model versioning, and experiment tracking that align with regulatory strategy and jurisdictional requirements
Innovate on existing image processing methods, in collaboration with our ML Engineers
Develop containerized, production-grade services for model inference in an on-premises, cloud computing, or OEM-integrated context.

Requirements:

4+ years of experience:
- Building scalable pipelines for large-scale structured and unstructured data, using Infrastructure-as-Code (IaC) e.g. Terraform, Cloudformation, etc.
- Building solutions for distributed or high-performance data processing with reproducible, version-controlled infrastructure
- Experience with data modeling, distributed or high-performance data processing, experiment tracking, and MLOps in a production environment
2+ years experience developing data or ML systems, preferably in a regulated environment (e.g. medical devices, healthcare, financial services) with an understanding of requirements such as reproducibility, auditability, and data governance
Fluent in python and familiar with at least one deep learning framework (e.g. PyTorch, TensorFlow)
Effective communication (English) and interpersonal skills.
Valid work permit in Switzerland or EU and availability to travel to Tunisia.

Strong plus:

Exposure to ISO 27001 / ISO 13485 a plus
Exposure to Software as a Medical Device (SaMD) or clinical integrations is a strong plus

Company

Moonlight AI AG

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Basel, Switzerland
Berlin, Germany

Contact information

Nicole H. Romano
[email protected]

Jetzt bewerben

Erweiterte Suche

machine learning training infrastructure Jobs

Data engineer

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Software Engineer Position for Scientific AI

PhD Student in Probabilistic Modelling of Severe Nuclear Accident Risk

AI Research Engineer (Model Compression & Quantization)

Cybersecurity Engineer

Software Engineer III, ML Pipeline Development, XR

Head Counsel, Global Transactions & Contracts Legal – DD&T and BP

DevOps Engineer /Deployment Manager

GPU & ML Developer for Reconstruction and Simulation (EP-ALI-SC-2026-106-GRAP)

Lead Kernel Engineer/Architect

Fullstack Software Engineer (Email Security & Anti-Abuse)

Research Software Engineer, Computer Vision

Senior NLP Data Scientist

Simulation Lead Engineer

PhD Position “Big Data Infrastructures” (m/f/d)

Ich möchte aktuelle Job-E-Mails für Stellen als machine learning training infrastructure erhalten

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