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)