Bailly Network est un Cabinet de recrutement spécialisé dans les secteurs Tech, Sales et Executive.
Nous vous accompagnons afin d'identifier de rejoindre les plus belles entreprises de la French Tech & du CAC40.
Location: Biarritz, France
Contract: Permanent (CDI)
Salary: €40,000 - €50,000 per year (depending on profile) + Bonus
Start Date: As soon as possible
Remote Policy: Hybrid model with a strong on-site presence
On behalf of our client, a well-funded and ambitious early-stage startup, we are looking for two Junior Data Scientists to join their founding team in the unique setting of Biarritz.
Our client is on a mission to revolutionize the construction industry—a massive, yet underserved market—by leveraging cutting-edge AI to solve its most critical challenge: pricing complexity.
Backed by a team of seasoned founders with deep expertise in AI (ex-CDO at Bankin'), Growth (ex-Head of Growth at MyTraffic), and Construction, this is a rare opportunity to build a category-defining company from the ground up.
If you are a brilliant, entrepreneurial engineer looking for a project with massive technical challenges and an unparalleled quality of life, this is for you.
Your Mission: Become a Core Member of an AI-First Venture
As one of the first key hires reporting directly to the CTO, you will have a 360° role with a massive impact on the product. You will not be confined to a single task; you will be at the heart of the R&D, contributing to every stage of the AI product lifecycle.
Your responsibilities will include:
* Improve & Innovate: Participate in the enhancement of existing models by investigating a wide range of approaches (Reinforcement Learning, Boosting, CNN, GANs, LLMs, etc.).
* Architectural Decisions: Contribute to the architectural choices of the data platform on GCP.
* Prototype & Industrialize: Identify, prototype, and industrialize advanced AI products that deliver a strong ROI for clients, working on fascinating use cases such as:
* Extracting complex technical information from unstructured data (photos, documents, voice).
* Building a specialized search engine for complex product identification.
* Matching product references with varied names but identical uses.
* Drive a Culture of Excellence: Animate the internal tech community and conduct a permanent watch on AI/ML topics to propose innovations.
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