AI Talent Pool
DoctolibAbout the role
<p>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.<br><br>We leverage AI ethically across our products to empower patients and health professionals. Discover our AI vision<a href="https://careers.doctolib.com/ai-careers/"> here</a>!</p> <p>By joining our AI talent pool, you will be contacted as a priority for our future opportunities in the following areas:</p> <p><strong>The areas of expertise we are looking for</strong> :</p> <ul> <li>ML Engineering & MLops : Python proficiency, Model deployment, Evaluation frameworks (Offline/Online) & Model monitoring</li> <li>Natural Language Process (NLP) : Clinical NLP, LLM expertise Deep Learning or Speech / Language modeling </li> <li>LLMops & Generative AI : Prompt Engineering, RAG, LLM fine-tuning, Embedding models, Agent frameworks </li> <li>Automatic Speech Recognition (ASR) : Voice Activity Detection, Interactive voice assistants, audio processing, Speech-to-text </li> <li>Search, Ranking, information retrieval</li> <li>Reasoning capabilities : Logical reasoning, Multi-step reasoning, Chain-of-thought approaches</li> <li>Knowledge representation : Knowledge graphs, ontologies, Semantic modeling </li> <li>Reinforcement Learning : RL algorithms, Policy optimization, Reward modeling</li> </ul> <p><strong>Most of our positions require:</strong></p> <p>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.</p> <ul> <li>Hold a degree in computer science, applied mathematics, data science, or related field (Master's, PhD, or equivalent)</li> <li>Master machine learning and deep learning frameworks (PyTorch, TensorFlow, Scikit-learn)</li> <li>Have hands-on experience with LLMs, open and closed source Proficient in Python</li> <li>Possess strong analytical skills and a results-oriented approach</li> <li>You speak English fluently (international work environment)</li> </ul> <p>It would be fantastic if:</p> <ul> <li>You have experience in healthcare or medical NLP</li> <li>You master RAG techniques, embeddings, and vector search</li> <li>You know MLOps technologies and model deployment in production (Kubern
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