📍 Belgium (on-site or hybrid) | 💸 Competitive salary + Stock Options (ESOP) | 🧠 Python · Computer Vision · ML
🎯 Every model you deploy helps redirect a garment away from landfill ♻️
About Trosort
At Trosort, we build AI-powered machines to revolutionize textile sorting. Our product, the SortMate, combines cameras, NIR sensors, and machine learning to automate the grading and sorting of used garments at industrial scale — detecting brand, condition, material, and resale value in real time.
We don't just sort textiles. We're building the data and automation backbone of the circular fashion economy. 🌍
The role
This is a unique hybrid role sitting at the intersection of customer success and applied ML engineering. You will be the technical face of Trosort for our customers — guiding them from onboarding to full deployment — while also contributing directly to the CV/ML product team to extend and adapt our models to new client needs.
You are the bridge between what the customer needs and what the machine can do.
Your impact
→ Customer onboarding & success: Lead the technical onboarding of new clients. Understand their sorting workflows, configure the SortMate to their context, and ensure smooth go-live.
→ Model adaptation & fine-tuning: Work with the CV/ML team to adapt models (brand recognition, defect detection, attribute extraction) to new garment types, lighting conditions, or product categories.
→ Data analysis & feedback loops: Analyze inference data from client deployments to identify performance gaps, edge cases, and distribution shifts. Turn customer feedback into model improvements.
→ Technical project management: Own customer implementation projects end-to-end — from requirements gathering to deployment sign-off.
There is a match if you have
✔ A builder's mindset — as comfortable debugging a model in a notebook as jumping on a customer call ✔ 3+ years of hands-on CV/ML experience in Python (PyTorch, TensorFlow, or similar) ✔ Strong communication skills — you translate technical realities for non-technical customers, and customer needs into engineering specs ✔ A taste for messy real-world data — you build robust pipelines for noisy, inconsistent production environments ✔ Fluent in English — you communicate clearly with international clients and partners ✔ Last but not least : Project ownership — when you pick up a project, it gets done