Machine Learning Engineer (m/f/d)

📋 Description

• Analyze, explore and visualize large sports datasets with statistical methods.
• Develop and train deep learning models for sequence modeling and generative AI.
• Build data pipelines for training from scratch, validation, and inference.
• Validate models with back-testing or simulations.
• Optimize models for GPU-accelerated, scalable inference.
• Deploy models to production and monitor lifecycle.

🎯 Requirements

• Modern ML techniques for sequence modeling and generative AI (transformers)
• Python and ML tooling (PyTorch, PyTorch Lightning) with distributed training
• Hands-on with spatiotemporal data (tracking/trajectory/time-series)
• Build training pipelines and scalable data processing; production-grade inference
• Data engineering basics: datasets, feature pipelines, validation, reproducibility
• Cloud services (AWS) and container-based development (Docker)
• Jira for planning and tracking
• BS in CS/Engineering/Math/Statistics or equivalent

🎁 Benefits

• Collaborative, multinational teams with social events and teambuilding
• Flexible working hours and autonomy
• Balance of structure and autonomy
• Inclusive community with Women in Tech and Pride groups
• Online training videos and well-being apps (Calm and Reulay)