Role overview

Mission

Joining Vizzia means becoming part of a fast-growing deeptech startup building innovative solutions for cities.

The AI team is currently working on two core products:

Waste: automated detection of illegal dumping, an existing product now scaling
Safety: an intelligent urban monitoring solution, built from scratch

As an Engineering Manager – Computer Vision, your mission is twofold:

build robust, production-grade computer vision systems,

grow and lead a team of engineers and data scientists, in a demanding, real-world product environment.

Your impact is direct on the quality, reliability, and real-world deployment of models in production.

Lead the development and production deployment of computer vision models (detection, tracking, multimodal vision).
Ensure technical excellence across the full model lifecycle: data, training, evaluation, cloud and edge deployment.
Design and evolve the technical architecture of CV systems (vision stack, ML infrastructure, pipelines).
Coach, mentor, and support team members’ growth (1:1s, feedback, mentoring).
Work closely with the Head of AI and product teams to align technical vision with business goals.
Establish and maintain best practices: code quality, ML CI/CD, MLOps, monitoring, documentation.
Actively contribute to technology choices and stay up to date with advances in applied computer vision and AI.

Key skills (must have)

Strong expertise in applied computer vision, with hands-on production experience.
Excellent knowledge of Python and software engineering best practices.
Strong proficiency with PyTorch (or TensorFlow).
Solid experience with detection and tracking models (YOLO, R-CNN, DeepSORT, etc.).
Strong foundations in MLOps: pipelines, monitoring, versioning, deployment.
Ability to own and arbitrate complex technical topics at the product level.

Nice to have

Strong technical leadership, with the ability to make structuring, long-term decisions.
Hands on capacity to participate in developing cutting edge computer vision products.
Excellent communication skills, able to align and bring a team along around technical and product choices.
A pragmatic mindset, focused on delivery and tangible product impact.
A strong appetite for startup environments and for building systems and teams from the ground up.
A genuine desire to help others grow and to build a strong, sustainable team over time.

Contribute to real-world AI projects with environmental impact.
Work within a multidisciplinary team (AI, Data, Software, Product).
A culture of trust and responsibility, where everyone contributes to collective progress.

Hybrid work
“Contrat cadre” and RTT (between 8-12 per year depending on the number of public holidays in the current year)
A Mac or PC depending on your preferences
BSPCE
60% coverage of meal vouchers worth €9 per worked day
/ Sustainable mobility allowance
Mutuelle (Alan)
Offices located in central Paris (9th arrondissement)
Annual offsite with the whole team and plenty of company events

Lead the development and production deployment of computer vision models (detection, tracking, multimodal vision).
Ensure technical excellence across the full model lifecycle: data, training, evaluation, cloud and edge deployment.
Design and evolve the technical architecture of CV systems (vision stack, ML infrastructure, pipelines).
Coach, mentor, and support team members’ growth (1:1s, feedback, mentoring).
Work closely with the Head of AI and product teams to align technical vision with business goals.
Establish and maintain best practices: code quality, ML CI/CD, MLOps, monitoring, documentation.
Actively contribute to technology choices and stay up to date with advances in applied computer vision and AI.

Used for matching and alerts on DevFound

Fulltime Ai Data Science Computer Vision