Machine Learning Engineer (m/f/d)
Sportradar14 hours ago
Ljubljana, SloveniaSenior
Responsibilities
- Analyze, explore, and visualize large-scale sports, betting, tracking, and behavioral datasets using statistical and data science methods.
- Develop predictive, statistical, deep learning, and generative AI models.
- Design and implement production-grade data processing, training, validation, and inference pipelines.
- Validate models and hypotheses through back-testing, simulations, experimentation, and algorithm evaluation.
- Deploy AI solutions on Sportradar’s AI platform and support model monitoring, maintenance, and continuous improvement.
- Design analytical approaches that enhance sports, betting, tracking, and product services.
- Collaborate with product owners, technical leads, and software engineers to integrate model outputs into products.
- Present complex technical findings to technical and non-technical stakeholders.
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 machine learning solutions.
- Proficiency with modern machine learning frameworks such as PyTorch and large-scale data processing.
- Advanced SQL skills and experience working with large datasets.
- Experience in predictive modeling, risk management, trading, quantitative analytics, deep learning, natural language processing, transformers, sequence modeling, or representation learning.
- Experience validating models through experimentation, simulations, and back-testing.
- Experience with cloud computing, preferably AWS.
- Experience with agentic coding tools such as Cursor or Claude Code.
- A bachelor's degree in Computer Science, Engineering, Mathematics, Statistics, or a related field.
- Fluent written and spoken English.
- Kafka, Flink, real-time analytics, distributed systems, tracking, time-series, computer vision, pose estimation, or spatiotemporal data experience is a bonus.
Benefits
- Collaborative global environment with social events, team-building, and employee communities including Women in Tech and Pride groups.
- Global Employee Assistance Programme.
- Access to Calm and Reulay well-being apps.
- Online training videos.
- Flexible working hours and autonomy in managing work.
- Fully on-site work five days per week, with certain location-dependent exemptions.
- Structured recruitment process including screening, technical interview, and onsite interview.
Categories
About Sportradar
Sportradar builds data, odds, and integrity services that power sportsbooks, iGaming operators, media companies, and sports federations. Its products include real-time sports data feeds, trading tools, virtual sports, integrity monitoring, and digital content, sold via SaaS and data-rights partnerships. Founded in 2001 and headquartered in St. Gallen, the NASDAQ-listed company covers more than a million events annually and works with organizations such as the NBA and UEFA.