Machine Learning Engineer (m/f/d)

📋 Description

• Analyse, explore, and visualize large-scale datasets using statistical methods and modern data
• Develop machine learning models ranging from predictive and statistical models to deep learning and
• Design and implement data processing, training, validation, and inference pipelines for
• Rigorously validate methods, models, algorithms, and hypotheses through historical back-testing
• Bring AI solutions into production leveraging Sportradar's AI platform, ensuring model monitoring
• Design innovative approaches for analysing sports, betting, tracking, and behavioural data to

🎯 Requirements

• Strong knowledge of machine learning, statistics, and data science
• Proven software engineering experience and strong programming skills in Python and Java
• Experience building and deploying production-grade ML solutions
• Proficiency with modern ML frameworks such as PyTorch and large-scale data processing
• Advanced SQL skills and experience working with large datasets
• Experience in one or more of: predictive modelling, risk management, trading, quantitative

🎁 Benefits

• A collaborative environment with colleagues from all over the world (Engineering offices in Europe
• Flexibility to manage your workday and tasks with autonomy
• A balance of structure and autonomy to tackle your daily tasks
• Vibrant and inclusive community, including Women in Tech and Pride groups which welcome all
• Global Employee Assistance Programme
• Calm and Reulay apps (leading well-being apps designed to support focus, quality rest, mindfulness