AI Talent Pool

Doctolib; Paris; Sur place; EUR 60 000 - 90 000; Plein temps

Résumé du poste

A leading healthcare technology company in Paris is seeking AI professionals to develop innovative solutions aimed at enhancing access to healthcare. Candidates should have expertise in machine learning and natural language processing, and possess strong skills in tools like Python, TensorFlow, and PyTorch. This role offers an opportunity to join a diverse team focused on ethical AI, and welcomes applicants from all backgrounds. Fluency in English is essential, as you will work in an international environment.

Qualifications

• Hold a degree in computer science, applied mathematics, data science, or related field.
• Master machine learning and deep learning frameworks.
• Have hands-on experience with LLMs and Python.

Responsabilités

• Contribute to AI solutions that improve healthcare.
• Work on projects including NLP and ML engineering.
• Collaborate with various teams on innovative healthcare technologies.

Connaissances

Python proficiency

Machine learning

Deep learning frameworks

Strong analytical skills

Fluent English

Formation

Master's, PhD in Computer Science or related field

Outils

PyTorch

TensorFlow

Scikit-learn

Kubernetes

Docker

MLflow

Description du poste

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 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)

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 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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