AI Talent Pool

Are you passionate about artificial intelligence and want to contribute to revolutionizing the healthcare sector Doctolib develops cutting-edge AI solutions to improve access to care and facilitate the daily lives of healthcare professionals and patients. Our AI/ML teams work on large-scale projects: medical natural language processing recommendation systems clinical process automation and much more.

We leverage AI ethically across our products to empower patients and health professionals. Discover our AI vision here !

By joining our AI talent pool you will be contacted as a priority for our future opportunities in the following areas:

The areas of expertise we are looking for :

• ML Engineering & MLops : Python proficiency Model deployment Evaluation frameworks (Offline/Online) & Model monitoring
• Natural Language Process (NLP) : Clinical NLP LLM expertise Deep Learning or Speech / Language modeling
• LLMops & Generative AI : Prompt Engineering RAG LLM fine-tuning Embedding models Agent frameworks
• Automatic Speech Recognition (ASR) : Voice Activity Detection Interactive voice assistants audio processing Speech-to-text
• Search Ranking information retrieval
• Reasoning capabilities : Logical reasoning Multi-step reasoning Chain-of-thought approaches
• Knowledge representation : Knowledge graphs ontologies Semantic modeling
• Reinforcement Learning : RL algorithms Policy optimization Reward modeling

Most of our positions require:

Before reading further if you dont have the exact profile described below but you think this job description matches your skills and aspirations we still encourage you to apply.

• Hold a degree in computer science applied mathematics data science or related field (Masters PhD or equivalent)
• Master machine learning and deep learning frameworks (PyTorch TensorFlow Scikit-learn)
• Have hands-on experience with LLMs open and closed source Proficient in Python
• Possess strong analytical skills and a results-oriented approach
• You speak English fluently (international work environment)

It would be fantastic if:

• You have experience in healthcare or medical NLP
• You master RAG techniques embeddings and vector search
• You know MLOps technologies and model deployment in production (Kubernetes Docker MLflow)
• You have contributed to open-source projects or published in AI conferences

At Doctolib we believe in improving access to healthcare for everyone - regardless of where you come from what you look like. This translates into our recruitment process: Doctolib is an equal opportunity employer. We dont just accept diversity at Doctolib we respect and celebrate it!

The more diverse ideas are heard the more our product will truly improve healthcare for all. You are welcome to apply to Doctolib regardless of your gender religion age sexual orientation ethnicity disability or place of origin. If you have a disability let us know if theres any way we can make the interview process smoother for you!

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