Scientist II Machine Learning Engineer (LLM & GenAI Specialist)

The role

This person will design, develop, and deploy AI solutions focusing on Large Language Models, Generative AI, and Advanced Deep Learning architectures. They will bridge the gap between experimental data science and production-ready ML systems by scaling models and optimizing pipelines.

What you will do

• Develop scalable machine learning libraries, tooling, and research workflows.
• Shape research infrastructure requirements and drive tool and software choices.
• Champion software engineering best practices across the team.
• Design and enhance systems for experiment tracking, reproducibility, and model lifecycle management.
• Contribute to and accelerate the rapid prototyping of novel models.
• Other Ad-hoc responsibilities, tasks and projects assigned by the management.

Required qualifications

• Master’s or Ph.D. in Computer Science, Data Science, or a related quantitative field with a strong focus on ML/AI.
• 5+ years of professional experience in software development with Python.
• Proven track record of deploying deep learning models into production.
• Deep understanding of machine learning algorithms, statistical methods, and deep learning frameworks.
• Mastery of PyTorch or TensorFlow.
• 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.
• Experience with cloud platforms (AWS, GCP, or Azure) and SageMaker.
• Strong engineering practices including version control, comprehensive testing, CI/CD, and containerization (Docker).
• Experience with distributed computing, distributed training strategies for massive datasets, and optimization of ML workflows (e.g., vLLM).

Nice to have

• Experience working with clinical or omics data (e.g., genomic sequencing, transcriptomics, electronic health records) and medical imaging processing and analysis.
• Contributions to open-source ML projects or research publications.

Benefits

• Flexible work organization
• Friendly and informal working environment
• Opportunity to work with an international team with high technical and scientific backgrounds

Before you apply

• Please submit your CV in English.

About the company

Owkin is an agentic AI company pioneering Biological Artificial Superintelligence to solve problems in biology. The company builds K Pro, an AI scientist for pharmaceutical research and strategic decision-making.