Top AI & Machine Learning Jobs

Lead the development and deployment of probabilistic and machine learning models powering real-time sports betting markets. Analyze large datasets, validate models against historical and live data, optimize accuracy and scalability, collaborate with trading and software teams, research novel techniques, and mentor junior data scientists.

Leads the development and deployment of probabilistic and machine learning models for real-time sports betting markets. Responsibilities include analyzing large datasets, pricing betting products, validating models against historical and live data, optimizing accuracy and efficiency, researching new techniques, collaborating with trading and engineering teams, identifying data-driven opportunities, and mentoring junior data scientists.

Develop machine learning solutions, statistical models, predictive analytics, and experiments to support data-driven decisions across sports and gaming products. Responsibilities include sourcing and validating datasets, exploratory analysis, model deployment, scalable data infrastructure, A/B testing, stakeholder collaboration, and communicating insights through visualizations and presentations.

Develop machine learning and statistical models, analyze large datasets, conduct exploratory analysis and controlled experiments, and deliver actionable insights for sports and gaming products. The role involves data sourcing and validation, scalable data science infrastructure, stakeholder collaboration, and communicating findings through visualizations, reports, and presentations.

Leads the technical design, architecture, development, deployment, and lifecycle management of AI-powered agents and automation workflows. Mentors AI engineers through code reviews, pair programming, and knowledge sharing; establishes engineering standards; makes scalable and secure architecture decisions; resolves complex technical issues; develops technical roadmaps; and evaluates emerging technologies.