Since our founding in 2019, Trayvisor has been at the forefront of artificial intelligence applied to catering restaurants. Our innovations include:
🍽️ Self-Checkout API: Reducing wait times through deep learning for an optimal customer experience.
🏥 API for Healthcare Facilities: Precise analysis of patient intake, fighting malnutrition in the medical field.
We are growing rapidly and are looking to strengthen our technical team with a passionate Machine Learning Engineer.
As a Machine Learning Engineer, you will be responsible for designing, developing, and enhancing the food recognition capabilities of our solutions. You will collaborate closely with our CTO to build and implement high-performance image recognition algorithms. Your work will directly contribute to optimizing system performance and ensuring a smooth user experience.
Your Responsibilities:
Develop and enhance image recognition algorithms.
Implement and integrate image recognition models into our systems.
Conduct technological watch in AI-related fields relevant to our business.
Optimize recognition system performance to ensure fast and accurate results.
Collaborate with the product team to define image recognition requirements.
Analyze data to improve model accuracy and reliability.
Establish monitoring systems to evaluate model performance in production.
Document algorithms and system performance for internal and external stakeholders.
Design and run unit tests to guarantee the integrity of the model.
Why Join Us?
Innovation: Work in a growing and innovative company.
Professional Development: Numerous opportunities for professional and career development.
Flexibility: Full remote work is possible or in our offices in Paris.
A degree from a top engineering school.
Significant experience in developing AI-based image recognition systems.
Strong knowledge of Python and libraries like PyTorch.
Proactive and dynamic, with excellent organizational and multitasking skills.
Experience in reporting and working autonomously.
Nice to have:
Familiarity with relational databases and data management (e.g., PostgreSQL).
Experience in detection, segmentation, few-shot learning, or volume estimation.
Don’t meet 100% of the criteria? No problem! Tell us why you believe you’d be a great fit for this role.
Initial Chat: 30-45 minutes with a member of our team.
Technical Test: Show us your skills.
Technical Interview: In-depth discussion about your skills and experience.
Final Chat: Last step before final validation.
