20 beste vacatures voor de functie van ai engineering lead in deinze (nieuwe medewerkers gezocht)

Engineering Lead - Core, AI & Application
Polysense —Gent
- Voltijds
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- Onderzoek
- Bachelor
- Machine learning
Snel solliciteren
AI Project Manager
TechWolf BV —Gent
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- Systeem ontwerpen
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- Bachelor
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Follo —Gent
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- Hybride werken
- Master
- SQL
- Bachelor
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Engineering Manager
LYNX Amsterdam —Gent
- Voltijds
- Microsoft Excel
- DevOps
- Engels
Process Validation Engineer (M/W/X)
Amaris Consulting —Gent
- Thuiswerk
- Projectmanagement
- Bachelor
- Productie
5 dagen
Team Lead Engineering
Qargo —Gent
- Hybride werken
- Managementervaring
Product Delivery Manager
NGDATA —Gent
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- Engels
- Java
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AI Platform Engineer
Vandelanotte —Merelbeke
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- Azure
- Informatica
- Tankkaart
- Invaliditeitsverzekering
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Product Manager
Accurat —Gent
- Voltijds
- Thuiswerk
- Master
- Bachelor
- Productmanagement
AI Engineering Lead
TechWolf BV —Gent
- Voltijds
- Hybride werken
- Master
- Artificiële intelligentie
- Python
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Demand Generation Lead
Silverfin —Gent
- € 82.450 - € 111.550 per jaar
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Data & AI Strategy Senior Manager
Datashift NV —Gent
- Voltijds
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Service Innovation Engineer
Agfa —Gent
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Lead Platform Engineer
Lighthouse Intelligence Ltd. —Gent
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Senior AI Engineer
Datashift NV —Gent
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Sales Team Lead – Flanders
Silverfin —Gent
- € 84.150 - € 113.850 per jaar
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Technical Leader – Fire Protection Engineering
Jensen Hughes —Gent
- Voltijds
- Onderzoek
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Lead Product Manager
Lansweeper —Gent
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- Thuiswerk
- Onderzoek
- Bachelor
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Snel solliciteren
Business Intelligence & Analytics Product Manager
Agfa —Gent
- Oracle
- HIPAA
- Master

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Engineering Lead - Core, AI & Application

Polysense
Gent

Snel solliciteren

Vacaturegegevens

Voltijds

Kwalificaties

Computervisie
Onderzoek
Bachelor
Machine learning
Gedistribueerde systemen
Artificiële intelligentie

Volledige vacaturetekst

At Polysense, we're completely disrupting the global food industry. We're taking food producers from high-waste, manual production lines to fully automated, optimised ones, and we help them see and think about their process differently, quite literally . Our computer vision systems watch, analyse, and understand food production lines in real time, offloading quality operators from tedious manual tasks. But quality control is only the first stride. With Polysense AutoControl, we optimise process parameters to ensure product quality meets predefined specs every single time.

You'll join us at a pivotal moment. We just closed a $10.7M USD seed round (backed by Felix Capital and Fortino Capital), and we're moving from a handful of flagship deployments (La Lorraine Bakery Group, Lotus, Agristo, and more) to running Qualify and AutoControl across many more plants and customers. Our Engineering team is organised into three squads, Core, AI, and Application, and we're hiring a Lead for each. These are three separate openings; you'll apply to the one that matches your background, and we'll place you on the team where you'll have the most impact.

As Engineering Lead, you'll own a subpart of our engineering team end to end, report directly to Lucas Van Dijck, our CTPO and co-founder, lead and grow a team of 3-5 engineers, and work closely with Product to translate roadmap into shipped, reliable software.

To be clear: this is a product engineering role. You and your team design, build, and ship Qualify and AutoControl themselves. Installing, configuring, and supporting the product on-site at customer plants is owned by our separate Delivery team — you build the product they deploy, not the other way around.

What you'll be doing

Building a part of the product: you'll design, build, and ship your part of Qualify and AutoControl, a product that is scaling worldwide and creates tangible impact on a daily basis.
Raising the technical bar: you'll help define the engineering practices, processes, and standards that don't exist yet, as we scale from a handful of flagship deployments to many more plants and customers.
Team leadership: you'll manage, mentor, and grow a team of 3-5 engineers, setting technical standards and helping them do the best work of their careers.
Driving execution and delivery: you'll own how your squad actually ships. You'll break the roadmap into concrete tickets, keep the board healthy, track progress against deadlines, unblock your team, and give Product an honest, up-to-date view of what's on track and what's at risk.
Partnering with Product: you'll work closely with Product to turn what we learn on the factory floor into a roadmap that scales across customers. Field feedback from Delivery and Go-To-Market directly influence what your team builds next.

3+ years of hands-on software engineering experience in a relevant domain, plus real experience leading and mentoring engineers.
Comfortable owning a subpart of a tangible, technical, industrial product end-to-end and partnering closely with Product to shape its roadmap.
Strong on execution: you keep your team's tickets, deadlines, and roadmap on track without drowning them in process, and you're happy being accountable for what ships and when.
Structured, first-principles approach to prioritisation, comfortable saying no and explaining why.
AI-native: you use AI tools daily in your own workflow and in how your team builds software.
Excited to build a team's practices and standards from close to zero, not just operate inside an existing one.

On top of this shared bar, each team is looking for specific technical depth:

Core Team

Background in distributed systems, infrastructure, or real-time data pipelines.
Comfortable owning the reliability of the systems your team builds, which run on real, physical, industrial hardware (cameras, edge devices, plant networks).
Experience in compliance is a big plus!

AI Team

Background building and shipping computer vision and other machine learning systems in production, not just research.
Deep understanding of the practical trade-offs in model accuracy, latency, and robustness for real-world, industrial deployments.

Application Team

Background full-stack, building customer-facing products used daily by non-technical end users.
Comfortable owning product quality end-to-end, from backend integrations to the UX an operator sees on the plant floor.

✨ Bonus points if you;

Have a track record of growing a (small) team of engineers
Have worked with computer vision, IoT, or other hardware-adjacent products.
Have joined an early-stage startup and helped scale an engineering team from scratch.

Snel solliciteren

Verfijn je zoekopdracht

ai engineering lead vacatures in deinze

Engineering Lead - Core, AI & Application

AI Project Manager

Technical Team Lead

AI Engineer

Engineering Manager

Process Validation Engineer (M/W/X)

Team Lead Engineering

Product Delivery Manager

AI Platform Engineer

Product Manager

AI Engineering Lead

Demand Generation Lead

Data & AI Strategy Senior Manager

Service Innovation Engineer

Lead Platform Engineer

Senior AI Engineer

Sales Team Lead – Flanders

Technical Leader – Fire Protection Engineering

Lead Product Manager

Business Intelligence & Analytics Product Manager

Ik wil de nieuwste vacature-alerts ontvangen voor de functie van ai engineering lead in deinze

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