AI role · Open offer

Computer Vision Engineer — Industrial QA

Focus: Data Labeling AI

Paris · 50-200 employees · Startup · GenAI: No

This listing is optimized for AI-native talent: clear skills and tools so candidates know if they fit before they apply—and so you spend less time screening mismatches.

3 skills1 tool

Apply now Find matching talent

Share this role

At a glance

How you'll work, where, and key listing dates.

Employment: Permanent (CDI)
Workplace: Hybrid
Location: Lyon, France · Hybrid
Compensation: €72k–€92k
Experience level: Senior
Team: Vision systems
Benefits & perks

About this role

What the team is looking for and how this position fits.

Lyon plant-floor AI squad delivers defect detection for automotive suppliers. You will iterate quickly with quality engineers while meeting strict traceability for ISO programs.

Hybrid with regular site visits; PPE and safety training provided.

What you will do

Own CV model lifecycle: datasets, labelling QA, training, quantisation, deployment.
Tune lighting/camera recommendations with maintenance teams.
Instrument false-positive/false-negative reviews for continuous learning loops.
Produce validation packets for customer quality audits.
Mentor junior CV engineers on robust augmentation strategies.

What we look for

4+ years industrial CV—not only academic benchmarks.
PyTorch proficiency; deployment to edge or near-edge targets.
Willingness to travel regionally within France.

Nice to have

Thermography or 3D vision experience.
MES/SCADA integration familiarity.

Skills we're hiring for

Core capabilities—LLMs, automation, analytics, product, or domain expertise.

PythonPyTorchDocker

Tools & stack

Platforms and products mentioned for this role (APIs, IDEs, vector DBs, CRMs, design tools, etc.).

AWS

You're a strong fit if…

You've shipped real work with AI—not only experimented in isolation.
Several listed skills or tools show up in your recent projects.
You can explain trade-offs (quality, cost, latency, safety) in plain language.

Apply

Candidate accounts only: add your headline and bio on , and optionally a CV link or PDF so recruiters see your full résumé. Then write a short pitch below—applications use your login email.

What the employer asked for

One example of quantization or ONNX tradeoffs you chose.

Register, add a headline and bio, then you can attach a CV link or PDF on My account before you apply. That keeps applications tied to your profile and makes it easier for employers to review your background.

Suggested

AI talent you may also like

Profiles ranked by overlap with this role's skills and tools—handy if you're hiring for a team or comparing backup candidates.

Marcus Thorne

ML Platform Lead

Open to contract-to-hire · $180k–220k TC · Remote · US East

Profile active · Apr 5

4 skills · 1 project · 1 role · 3 use cases

Built

Model flight deck
Internal UI for promote/rollback, canary traffic, and SLO dashboards per model version.
Demo Link

Top skills

PythonPyTorch

Similar open roles

Other listings that share skills or tools with this one—useful if you want comparable stacks or backup options.

Computer Vision Engineer — Industrial QA

AI talent you may also like

Marcus Thorne

Similar open roles

Omar El-Sayed

Camila Rojas

James Okoro

Nina Kowalski

Computer Vision Engineer — manufacturing QA

Offre d'emploi full remote USA — ML Engineer

Senior PyTorch Engineer — research & production models

Lead PyTorch Engineer — LLM fine-tuning & distributed training

Staff ML Engineer — Geospatial & Earth observation