Machine Learning Engineer (m/f/d)
Core
Design, develop, and deploy advanced machine learning models for sports betting, trading, media, and sports performance products using unique sports datasets.
Role type
Machine Learning Engineer (Production)
Builds
Scalable production AI systems for risk management, odds trading, and sports performance simulation
Domain
Sports technology, betting, and quantitative analytics
Deliverable
production ML models
Required skills
Python, Java, PyTorch, SQL, predictive modelling, deep learning, model validation, cloud computing (AWS), agentic coding tools
Preferred skills
Kafka, Flink, real-time analytics, distributed systems, computer vision, pose estimation, spatiotemporal data
Responsibilities
Analyse and visualize large-scale datasets; develop ML models from predictive to generative AI; design and implement data processing and inference pipelines; validate methods through back-testing and simulations; integrate model outputs into real-world products; present technical findings to stakeholders (via careerplan.io/jobs/744000153670469-machine-learning-engineer-mfd-at-sportradar)
Seniority
Mid-Senior, hands-on IC
