Senior ML Engineer: LLM & GenAI for Biomedical R&D (Remote)

FDE Times

Paris

Remote

EUR 90.000 - 140.000

Vollzeit

Vor 2 Tagen
Sei unter den ersten Bewerbenden

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Benefits dieser Stelle

Flexible work arrangement
Friendly, informal environment
International team with high technical

Zusammenfassung

Owkin is seeking a highly skilled Scientist II Machine Learning Engineer to design, develop, and deploy cutting-edge AI solutions. The role centers on Large Language Models (LLMs), Generative AI, and advanced deep learning architectures.

You will bridge experimental data science and production-ready ML systems, scaling models, optimizing training/inference pipelines, and leveraging cloud ecosystems to deliver robust biomedical solutions. Health/omics data experience is a plus.

Qualifikationen

  • Education: Master’s or Ph.D. in Computer Science, Data Science, or related quantitative field with ML/AI focus.
  • 5+ years of professional software development with Python and deploying DL models into production.
  • Deep understanding of ML/DL algorithms and frameworks; mastery of PyTorch or TensorFlow.
  • Deep understanding of Transformer architectures and Generative AI; extensive experience with Hugging Face, RAG, agentic workflows.
  • Cloud & MLOps experience with AWS, GCP, or Azure and SageMaker.
  • Strong engineering practices: version control, comprehensive testing, CI/CD, and containerization (Docker).
  • Experience with distributed computing, distributed training strategies for large datasets, and ML workflow optimization (e.g., vLLM).

Aufgaben

  • Develop scalable ML libraries, tooling, and research workflows with research/data scientists.
  • Shape research infrastructure requirements and drive tool choices with platform team.
  • Champion engineering practices for maintainable, testable, scalable code.
  • Design and enhance experiment tracking, reproducibility, and end-to-end model lifecycle management.
  • Contribute to rapid prototyping of novel models bridging research and robust implementation.
  • Handle ad-hoc tasks and projects as assigned by management.

Kenntnisse

Python programming
Production deployment
Transformers
Distributed training
Research collaboration

Ausbildung

Master’s or Ph.D. in CS/Data Science/quantitative field

Tools

PyTorch
TensorFlow
Hugging Face
Docker
Kubernetes
SageMaker
AWS
GCP
Azure

Jobbeschreibung

Owkin is seeking a highly skilled Scientist II Machine Learning Engineer to design, develop, and deploy cutting-edge AI solutions. The role centers on Large Language Models (LLMs), Generative AI, and advanced deep learning architectures.

You will bridge experimental data science and production-ready ML systems, scaling models, optimizing training/inference pipelines, and leveraging cloud ecosystems to deliver robust biomedical solutions. Health/omics data experience is a plus.

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