Computer Vision Engineer

Our client combines a passion for football with the power of data and is recruiting a Computer Vision Engineer. This person will be responsible for developing, optimizing, and deploying multi-object tracking pipelines to analyze football matches. Your work will have a direct impact on player tracking, tactical insights, and scouting solutions.

Responsabilities:

• Computer Vision & Deep Learning: Develop and refine multi-object tracking models to detect and track players & the ball in football matches.
• Model Training & Optimization: Train and fine-tune deep learning models cost-effective and high-accuracy tracking.
• MLOps & Deployment: Deploy and maintain computer vision models in a cloud environment (Azure, Databricks, MLFlow).
• Research & Innovation: Stay up to date with the latest advancements in deep learning, object detection, and tracking.
• Collaboration: Work closely with data scientists, engineers, and football experts to integrate tracking solutions into our products.

Requirements

• 3+ years of experience in Computer Vision, Deep Learning, or a related field.
• Strong knowledge of multi-object tracking, object detection, and image processing.
• Proficiency in Python and deep learning frameworks like TensorFlow, PyTorch, or OpenCV.
• Experience working with Convolutional Neural Networks (CNNs), Recurrent Neural Networks (RNNs), and Transformer-based vision models.
• Ability to work independently and in a fast-paced, dynamic environment.
• Hands-on, pragmatic problem-solving approach with a focus on real-world applications.
• Excellent English verbal and writing skills (C1-level).