AI Engineer - L7R88V73

The company is experiencing strong growth and has already achieved over 170 million in revenue. It has 200 employees, spread across 10 countries in Europe.

Client is an expert in the buyback, refurbishment, and resale of smartphones and other electronic and high-tech products. We give a second life to products through innovative technologies and methods, from collection to resale.

We collaborate with major European operators (Vodafone, Orange, T-Mobile...), distributors (Boulanger), e-commerce players (Amazon), and OEMs (Samsung, Microsoft...). We market our products in more than 25 countries in Europe and around the world.

Because "giving meaning" is essential to us, our solutions and processes are designed to actively contribute to sustainable development.

Act directly on the environment in a positive way by reducing the ecological impact of our footprints.

Work as a team on projects that aim to revolutionize our consumption habits.

Be part of a team that shares the same values: the pursuit of excellence, humility, caring about others and the future, all while maintaining optimism, always!

Feel good at work: attention to work-life balance, a workspace designed for teams, a continuous improvement approach in our processes, management methods, and work methods, a commitment to placing humans at the center (RE!placing).

We are absolutely convinced that our company should represent the diversity of the world we live in.

In this regard, we will be delighted to welcome you to our team, regardless of differences. Of course, all our offers are also open to people with disabilities who are welcome. Be yourself ! ️

A bit of context :

You'll be part of our tech teams working on the development of an AI solution tailored to the refurbished tech devices industry.

Your missions :

Develop and train deep learning models (computer vision) to detect scratches and cracks on smartphones.

Optimize AI models using a test & learn approach: data augmentation, fine-tuning, evaluation.

Deploy models to production (using SageMaker, Docker, CI/CD) in collaboration with DevOps teams.

Build an internal labeling tool for image annotation (simple UI to highlight defects).

Monitor model performance (drift detection, maintenance, metrics tracking).

Work closely with the AI Product Manager to align technical implementation with business needs.

Act as the AI reference within the team, capable of explaining concepts, making technical decisions, and driving the roadmap.

Our promises to you :

A tangible, real-world AI use case with industrial applications

A fast-moving environment with full ownership and cross-functional collaboration

A company already well positioned in the market not starting from scratch

🫵About you :

You already have a successful experience in building and deploying AI models

Cloud & MLOps: AWS (SageMaker, Ground Truth), Docker, CI/CD, Git, model monitoring

Programming: Python (expert level), REST APIs (FastAPI/Flask), Swagger/OpenAPI

Machine Learning: Deep learning (PyTorch, TensorFlow), image processing (OpenCV, PIL)

Computer Vision: Experience with defect detection, model training & optimization

Data Handling: Preprocessing, feature engineering, dataset management, labeling workflows

You are analytical, pragmatic, and creative in finding solutions

You adapt quickly, you are curious, and comfortable with working with new tools

You works closely with devs, labelers, product

You are detail-oriented, cares about clean code and model performance

Beyond skills, we are looking for someone who wants to get involved with a positive mindset. We are here to help you grow professionally !