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Selected role

Computer Vision Engineer

Prime Vision Delft, ZH, NL

Senior Full-time

Location: Delft, the Netherlands

Join our Computer Vision team – Solving complex logistical puzzles

Your challenge

At Prime Vision, we don’t just build software or train AI models; we solve high-stakes physical puzzles. Our Computer Vision product team is at the forefront of the global AI transition, developing advanced Computer Vision systems that power the postal, parcel, and fulfillment industries.

From recognizing handwritten text on labels, detecting damaged parcels on a moving conveyor belt to interpreting complex 3D scenes in real-time, we bridge the gap between academic AI research and industrial-scale deployment. If you are driven by the challenge of making “state-of-the-art” work in the real world, you belong here.

Your mission

As a Computer Vision Engineer, you will transition seamlessly between new academic developments and software engineering. You won’t just build prototypes; you’ll develop and deploy resilient, high-performance systems running at high speed and accuracy used by global logistics leaders in demanding environments.

Create, Innovate & Implement: Design, build and train Deep Learning models, tools and software that identify, recognize, and interpret complex objects and scenes for existing and new propositions.
Optimize for Reality: provide AI solutions for demanding customer requirements regarding hardware footprint, accuracy and recall, ensuring our models perform on standalone servers, embedded devices, or cloud environments.
Data Craftsmanship: Curate and organize high-quality datasets, understanding that great AI is only as good as the data fueling it.
Full-Stack Thinking: Translate recent academic breakthroughs into pragmatic, sustainable software solutions that can be maintained for years to come.
Collaborate: Work in a high-trust environment with an experienced team of AI scientists and engineers to solve demanding client requests.

Beyond the code: why Prime Vision?

We provide an environment where your brain is challenged, and your well-being is prioritized.

Global Impact: Work with a diverse team, serving a worldwide client base.
Innovation Culture: Access to top-tier digital tools and a profit-sharing scheme that rewards your contributions.
Flexibility & Growth: Flexible working hours and a dedicated focus on your personal development path.
The “Grand Café” Lifestyle: Our office is a hub for connection, featuring high-end coffee, healthy snacks, an in-house gym with personal trainers, and even on-site wellness services like chair massages and a barber.
Work-Life Balance: 25 days of holiday as standard, with the option to purchase more.

Your tech stack and profile

You are a technical highflyer who values pragmatism over perfectionism. You know that a model isn’t “done” until it’s performing at scale in the field.

Education: Bachelor or Master’s degree in Artificial Intelligence, Computer Vision or related field.
Expertise: Deep understanding of modern CNNs, Transformers, and OCR/Object Detection frameworks.
Engineering Mindset: Proficient in Python with a focus on writing clean, efficient, and deployable code. Knowledge of TensorFlow/PyTorch, Kubernetes and Docker.
Curiosity: You stay on top of the rapid AI transition and enjoy exploring the “possibilities and impossibilities” of new tech.
Persistence: You have a hands-on attitude and don’t stop until the solution is robust and production ready.
Communication skills: The ability to collaborate effectively with both technical and non-technical stakeholders. Proficient in English language, both verbal and written.
Experience: relevant work experience is a plus.

A note on inclusion

In the context of corporate responsibility, Prime Vision as a company is particularly open to applications from people with a disability.

Ready to apply?

We’d love to meet you. Please send your motivation letter or video, along with your CV, to HR at [email protected].

The application process consists of two interviews and a Big Five personality test. We look forward to hearing from you! forward to receiving your application.

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