Job Description :

We are looking for an ML Engineer intern to join our team and contribute to our expansion.

Under the supervision of our ML Engineer, you will work in an agile, AI-driven environment where your contributions will have a direct and crucial impact on our business.

Your role will be essential in developing AI algorithms that will serve as a pillar for our Generative Customer Service solution.

Responsibilities :

• R&D : Conduct in-depth research on state-of-the-art topics such as NLP, retrievers, LLMs, and Prompt Engineering with a significant impact on our startup.

• Modeling : Develop, train, and monitor retrievers and LLMs models tailored to our business data.

• Advanced RAG : Implement new RAG (Retrieval Augmented Generation) techniques and orchestration of LLM agents.

• NLP use cases : Implement ML algorithms to NLP tasks such as text classification, clustering, NER (Named Entity Recognition), etc.

• Collaboration : Work closely with other developers for seamless model deployment

What We Offer :

• Real Responsibilities : We trust you 100%: it’s up to you to succeed!

• Dynamic Environment : An agile framework that allows quick decision-making to have an impact every day.

• Unique Opportunity : In a fast-growing startup addressing a fast-growing market, you will grow every day and have the pleasure of participating in a real adventure.

• Experience : Graduate from top engineering schools (X, Centrale, Ponts, Mines, Telecom, etc.) Preferably in final year of studies.

• Technical Skills : Expertise in Python, NLP, language models, machine learning algorithms, libraries like PyTorch, transformers, etc. Knowledge of frameworks such as LangChain, DSPy, vLLM, etc. is a plus.

• Soft Skills : Excellent communication, synthesis abilities, problem-solving skills, and teamwork capabilities.

• Discovery and technical interview with Yassine, ML Engineer

• Interview with Yoann, CTO