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# Research Engineer Deep Learning en Computer Vision

- **Company:** Synsel Techniek
- **Location:** Amsterdam, Netherlands
- **Experience:** Experienced
- **Salary:** €2,900.0 - €4,800.0
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Data Analysis, Computer Vision, C Sharp (Programming Language), Computer Programming, Python (Programming Language), Tensorflow, Signal Processing, Pytorch, Deep Learning, Information Technology
- **Published:** July 15, 2026
- **Apply:** https://www.adzuna.nl/details/5721761121

## About the Role

* Masteropleiding in Kunstmatige Intelligentie, Informatica of een vergelijkbare opleiding;
 * Enkele jaren relevante ervaring met deep learning en computer vision, passend bij medior niveau;
 * Sterke programmeervaardigheden in Python en ervaring met C# of vergelijkbare talen;
 * Ervaring met deep learning-frameworks zoals TensorFlow of PyTorch en met modeltraining en evaluatie;
 * Kennis van klassieke beeld-, video- en signaalverwerking en ervaring met datasets en annotatie;
 * Wetenschappelijke, experimentele instelling en aantoonbare probleemoplossende vaardigheden;
 * Uitstekende communicatieve vaardigheden en vloeiend Engels

## Description

* Als Research Engineer Deep Learning en Computer Vision ben je verantwoordelijk voor het ontwikkelen en implementeren van deep learning-algoritmen voor mensgerichte toepassingen zoals gezichtsanalyse, oogtracking en houdingsanalyse;
 * Je ontwerpt en voert experimenten uit om de prestaties en nauwkeurigheid van modellen te evalueren en te verbeteren;
 * Je werkt samen met collega-onderzoekers en engineers om productierijpe oplossingen te realiseren en vervult daarbij de rol van Research Engineer Deep Learning en Computer Vision;
 * Je integreert modellen in bestaande softwareomgevingen en ondersteunt deployment en optimalisatie;
 * Je volgt de laatste ontwikkelingen in computer vision en deep learning en past deze kennis direct toe binnen projecten;
 * Je bouwt en onderhoudt data pipelines en annotatietools om trainingsdatasets efficiënt te beheren en te valideren


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