AI Talent Pool
Primary stack
Nice to have's
Job description
About the Position
AI Talent Pool
Paris, France
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:
Areas of Expertise
- 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
Requirements
Before reading further, if you don't 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 (Master's, 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)
Nice to Have
- Experience in healthcare or medical NLP
- Mastery of RAG techniques, embeddings, and vector search
- Knowledge of MLOps technologies and model deployment in production (Kubernetes, Docker, MLflow)
- Contributions to open-source projects or publications in AI conferences
We Offer
- Opportunity to work on cutting-edge AI projects in healthcare
- Collaborative and innovative work environment
- Professional growth and development opportunities
About the Company
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 don't 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 there's any way we can make the interview process smoother for you!
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If you wish to exercise your rights or if you have any questions about the processing of your data, you can write to us at [email protected].
© Doctolib Berlin. This job description was sourced from the employer's public career page. TheJob is not the employer — we index the posting and route candidates to the source. All content rights and hiring decisions belong to the employer.
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