Machine Learning Engineer (H/F)
CDI Paris (Paris) IT development
Job description
À propos
Since our founding in 2019, Trayvisor has been at the forefront of artificial intelligence applied to catering restaurants. Our innovations include:
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Self-Checkout API : Reducing wait times through deep learning for an optimal customer experience.
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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 .
Descriptif du poste
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:
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Develop and enhance image recognition algorithms.
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Implement and integrate image recognition models into our systems.
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Conduct technological watch in AI-related fields relevant to our business.
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Optimize recognition system performance to ensure fast and accurate results.
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Collaborate with the product team to define image recognition requirements.
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Analyze data to improve model accuracy and reliability.
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Establish monitoring systems to evaluate model performance in production.
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Document algorithms and system performance for internal and external stakeholders.
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Design and run unit tests to guarantee the integrity of the model.
Why Join Us?
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Innovation : Work in a growing and innovative company.
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Professional Development : Numerous opportunities for professional and career development.
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Flexibility : Full remote work is possible or in our offices in Paris.
Profil recherché
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A degree from a top engineering school.
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Significant experience in developing AI-based image recognition systems.
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Strong knowledge of Python and libraries like PyTorch.
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Proactive and dynamic, with excellent organizational and multitasking skills.
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Experience in reporting and working autonomously.
Nice to have:
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Familiarity with relational databases and data management (e.g., PostgreSQL).
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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.
Process de recrutement
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Initial Chat : 30-45 minutes with a member of our team.
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Technical Test : Show us your skills.
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Technical Interview : In-depth discussion about your skills and experience.
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Final Chat : Last step before final validation.
Informations complémentaires
· Type de contrat : CDI
· Date de début : 01 juin 2025
· Lieu : Paris
· Niveau d'études : Bac +5 / Master
· Télétravail partiel possible