CV/ML Implementation Engineer [Startup]

📍 Brussels (on-site, max 1-2d/week remote) | 💸 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. French is a plus.

✔ Last but not least : startup DNA — you don't wait for a perfect spec. You figure it out, ship it, and improve it.

Nice to have

→ Experience with edge-deployed models or IoT/embedded contexts

→ Familiarity with GCP or similar cloud ML infrastructure

→ Prior experience in a customer-facing technical role (solutions engineer, ML consultant, etc.)

→ Knowledge of the textile or logistics industry

Why Trosort?

🎯 Real machines, real impact — you deploy a model update and a machine on the other side of the world changes how it sorts garments. No hypothetical impact here.

📈 Stock options (ESOP) — competitive salary and equity, because we want you to share in what we're building.

⚡ Tight-knit engineering team — 6 highly motivated engineers. No bureaucracy. Your work is visible and it matters.

🌍 A mission worth it — textile waste is one of the biggest environmental problems in fashion. We're solving it at the source.

🚀 Startup pace, real ownership — no ticket queues, no committee approvals. You see a problem, you fix it. Your fingerprints will be all over the product.

Interested? Your next garment is waiting to be sorted. 👕➡️✅

Send us your profile at trosort.com/careers— we'd love to hear from you.