LLM & GenAI Scientist II — Production ML for Biotech (Remote)

Fdetimes; Paris; Hybrid; EUR 90,000 - 150,000; Full time

Benefits offered by this job

Flexible work organization

Friendly and informal working env

International team

Job summary

Owkin is seeking a Scientist II Machine Learning Engineer to design, develop, and deploy advanced AI solutions focused on LLMs, Generative AI, and cutting-edge deep learning architectures. You will bridge experimental data science with production ML systems, scaling models and pipelines across cloud platforms.

You will partner with Data Science and Engineering teams, optimizing training and inference, and handling health-related data where applicable.

Qualifications

• Education: Master’s or Ph.D. in Computer Science, Data Science, or a related quantitative field with a strong focus on ML/AI.
• Experience: 5+ years of professional experience in software development with Python and deploying deep learning models into production.
• ML/DL Frameworks & Ecosystems: Deep understanding of machine learning algorithms, statistical methods, and deep learning frameworks. Mastery of PyTorch or TensorFlow.
• LLM Specialization: Deep understanding of Transformer architectures, attention mechanisms, and the latest breakthroughs in Generative AI. Extensive experience with Hugging Face, with knowledge in agentic workflows and RAG.
• Cloud & MLOps: Experience with cloud platforms (AWS, GCP, or Azure) and SageMaker
• Software Engineering Culture: Strong engineering practices including version control, comprehensive testing, CI/CD, and containerization (Docker).
• Workflow Optimization: Experience with distributed computing, distributed training strategies for massive datasets, and optimization of ML workflows (e.g., vLLM).

Responsibilities

• Develop scalable machine learning libraries, tooling, and research workflows in close partnership with research and data scientists.
• Shape research infrastructure requirements and drive tool and software choices in collaboration with the platform team.
• Champion software engineering best practices across the team, enabling researchers and scientists to write maintainable, testable, efficient, and scalable code.
• Design and enhance systems for experiment tracking, reproducibility, and end-to-end model lifecycle management.
• Contribute to and accelerate the rapid prototyping of novel models, helping bridge early research and robust implementation.
• Other Ad-hoc responsibilities, tasks and projects assigned by the management.

Skills

Python

PyTorch

LLMs

Hugging Face

Cloud platforms

Distributed training

TensorFlow

Docker

CI/CD

Research collaboration

Education

Master’s or Ph.D. in Computer Science, Data Science, or related quantitative field

Tools

Docker

Kubernetes

AWS/GCP/Azure

SageMaker

Job description

Owkin is seeking a Scientist II Machine Learning Engineer to design, develop, and deploy advanced AI solutions focused on LLMs, Generative AI, and cutting-edge deep learning architectures. You will bridge experimental data science with production ML systems, scaling models and pipelines across cloud platforms.

You will partner with Data Science and Engineering teams, optimizing training and inference, and handling health-related data where applicable.