AI Engineering Intern
Description du poste
You can find all of our job offers by clicking here:
https://www.teoxane.com/ (https://www.teoxane.com/)
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Teoxane Laboratories were established in Geneva, Switzerland, in 2003. They are specialized in the design and manufacturing of hyaluronic acid-based dermal fillers and dermocosmetics. Teoxane strength is to offer a global patient care. Using its products, practitioners are able to fill all kinds of wrinkles, from the finest to the deepest, to restore youthful volume to the face, and to treat the neck and décolleté, with natural results. The strength of Teoxane is also its human size and independence. Teoxane has a total freedom of thoughts, action and innovation which makes the company unique.
In the frame of the growth of our business, we are looking for an:
AI Engineer Intern - Lab Innovation IA Medical Aesthetics
As part of its digital transformation and to maintain its technological leadership, Teoxane is creating an innovation lab dedicated to Artificial Intelligence. This Lab aims to revolutionize the aesthetic medicine industry by developing cutting-edge AI solutions to improve patient outcomes, optimize production processes, and enrich practitioner training.
Main activities
You will contribute to build Teoxane's AI Lab, working on innovative AI projects in medical aesthetics and supporting technical operations and data initiatives with different functions. The goal is to deliver one or several use cases when building the technical platform next level.
Development of specialized AI solutions (40%):
Computer vision models for facial analysis, wrinkle detection, treatment zone segmentation + Clinical and regulatory automation using RAG systems and medical chatbots.
Advanced LLM architecture implementation (30%):
LangGraph orchestration, multi-agent workflows, semantic search with vector databases.
Cloud Infrastructure & MLOps (20%):
Azure AI Foundry deployment, CI/CD pipelines, serverless APIs, production monitoring.
Innovation & Applied Research (10%):
GenAI and multimodal AI evaluation, POC development, documentation and team training.
Your Profile
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Master’s degree in CS, AI, or Data Science (EPFL, ETH, UNIGE, HES-SO or equivalent).
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Skills in ML, NLP, CV; tools: PyTorch, TensorFlow, Hugging Face.
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Experience with LangChain, RAG, FastAPI, Azure, Docker.
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Analytical mindset, curiosity, clarity in communication.
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Accustomed to working in multidisciplinary teams in demanding environments.
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French: Professional level (daily communication with the team).
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English: Excellent technical level (minimum B2/C1) - essential for technology monitoring and documentation.
Duration: 6 months of internship (start date ASAP)
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