Computer Vision Engineer · Hybrid
Location:
Region: Antwerp
Country: Belgium
Role:
- Industry: Software & Automation, Technology
- Job Type: Contract / Freelance
Working Arrangement: Hybrid
Rate: Negotiable
Application Details:
- Date Posted:
Start Date: ASAP
Expiry Date: 30/04/2026
Job Reference: 10032622
Computer Vision Engineer · Hybrid
Hiring: Computer Vision / ML Engineer (Contract)
We’re looking for an experienced Computer Vision specialist to build an agentic, vision‑powered data intelligence system. You’ll design models and multi‑agent workflows that automate image/video data extraction, processing, analysis, reporting, and visualisation — all delivered through an intuitive chat‑driven interface.
What You’ll Do
- Develop and optimise computer vision algorithms for automated data understanding
- Build and train deep learning models using PyTorch (or similar frameworks)
- Create multi‑agent systems that coordinate to process visual data efficiently and safely
- Evaluate model accuracy, system robustness, and agent‑level performance
- Support the development of an end‑to‑end system for visual data analysis, insights, and reporting
What We’re Looking For
- Strong experience with image/video processing, detection, segmentation, and feature extraction
- Prior experience in deep learning pipelines, computer‑vision‑based applications, or agentic systems
- Solid understanding of visual data analysis, including temporal/spatial modelling
- Passion for applied AI research and building production‑ready solutions
Technical Skills
- Python & C++
- PyTorch, OpenCV, CUDA, deep learning architectures (CNNs, transformers, diffusion, etc.)
- LangChain / LangGraph (for agentic workflow orchestration)
- Azure, Git, Docker, SQL, Gradio
- Experience with vision model optimisation, deployment, and inference acceleration is a plus
g2 Recruitment are committed to equality of opportunity for all applications from individuals are encouraged regardless of age, disability, sex, gender reassignment, sexual orientation, pregnancy and maternity, race, religion or belief and marriage and civil partnerships or any other characteristic protected by law.