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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:
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
- 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)
Key Skills
Ranked by relevance
deep learning
computer vision
neural networks
tensorflow
pytorch
python
cloud
mlops
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- Posted
- Aug 14, 2025
- Type
- Full-time
- Level
- Entry
- Location
- Porto
- Company
- Alongside
Industries
IT Services
IT Consulting
Categories
Information Technology
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