Project Manager - Computer Vision at Apixa

Leuven, Flanders, Belgium -

Full Time

Start Date

Immediate

Expiry Date

23 Jun, 26

Salary

0.0

Posted On

25 Mar, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Project Management, Computer Vision, Image Processing, Artificial Intelligence, Machine Learning, System Architecture, Hardware Integration, Software Development, DevOps, CI/CD, MLOps, Testing Methodology, Customer Collaboration, Budget Management, Risk Management, Technical Leadership

Industry

IT Services and IT Consulting

Description

We are looking for a technically strong Project Manager who enjoys working at the intersection of technology, people, and delivery and guides guide challenging computer vision projects from concept to deployment. You lead a team of engineers and act as the main point of contact for customers. You combine technical understanding with structured project leadership and ensure that solutions are robust, scalable, and ready for real-world use. This role requires a broad technical foundation with depth where it matters. You understand how the different layers of a vision system connect — from optical design and hardware integration to software architecture, algorithms, AI models, and testing methodology. What You Will DoLead End-to-End Vision Projects Guide the development of advanced computer vision systems. Oversee the full stack: optical setup, hardware design, embedded/software components, algorithms, AI models, and validation. Ensure solutions are architecturally sound and future-proof. Balance innovation with reliable delivery. Own Customer Collaboration Translate customer needs into structured technical roadmaps. Act as the primary contact throughout the project lifecycle. Align technical decisions with business objectives. Communicate progress, risks, and trade-offs clearly. Drive Engineering Excellence Contribute to system architecture decisions. Safeguard software quality and maintainability. Ensure strong development processes across projects. Embed DevOps practices (CI/CD, automation, deployment) and MLOps principles (model lifecycle, monitoring, reproducibility). Ensure Structured Delivery Manage planning, resources, budgets, and reporting. Coordinate internal teams and external partners. Contribute to improving internal project methodology and tools together with the COO. What You Bring Technical Breadth with Depth Experience in Computer Vision, Image Processing, AI, or Machine Learning. A broad understanding of complete vision systems — not just isolated algorithms. Awareness of system architecture, integration challenges, and validation strategies. Experience where R&D meets industrial deployment. Software & Process Mindset Strong understanding of modern software development practices. Experience with DevOps workflows and CI/CD environments. Familiarity with MLOps and productionizing machine learning systems. Structured approach to testing, validation, and quality assurance. Project & Communication Skills Experience managing complex technical projects. Strong prioritization and ownership mindset. Clear communicator, comfortable with both technical and non-technical stakeholders. Fluent in Dutch and English. Project management training or certification is a plus. Apart from a competitive salary package (including company car or equivalent mobility solutions), Apixa offers a fun and exciting work environment where you will be part of a team that is at the forefront of computer vision and machine learning technologies. We also provide extensive training and educational paths so you can continuously grow your knowledge and sharpen your skills.

Responsibilities

The Project Manager will lead end-to-end computer vision projects, overseeing the full stack from optical setup and hardware to algorithms and AI models, while ensuring architectural soundness and reliable delivery. This role also involves owning customer collaboration by translating needs into roadmaps and acting as the primary technical contact throughout the project lifecycle.