Are you excited about building ML systems that make predictions in real-time?Are you driven by building things end-to-end, from research to live systems?If the answers to the above questions are yes, then this role could be ideal for you!About the roleWe are building real-time prediction systems for competitive esports (CS2, Dota2, League of Legends). Our models power live betting markets, producing continuously updated win probabilities, handicap lines, over/under totals, and specialty markets during matches.We are looking for a Senior ML Engineer to own the full lifecycle of our prediction models: from research notebooks to production-grade ML pipelines, deployed at scale in a real-time microservices architecture.What you will doConvert existing model training code into reproducible, automated pipelines (experiment tracking, model versioning, automated retraining), following ML best practicesWork on algorithms and probabilistic market-derivation logic that powers our live predictionsDefine evaluation metrics, build backtesting frameworks, and monitor model performance in productionServe models via a Python microservices stackWork with the product team to define new betting markets and the statistical models that support themYour skills will include5+ years of professional experience in ML engineering or applied data scienceExperience developing production-grade ML pipelines and are familiar with workflow orchestration, experiment tracking and CI/CD for MLKnowledge of object-oriented programming, using vector operations for optimized performance, and a deep understanding of memory managementA strong grasp of probability and statisticsNice to haveExperience with real-time / streaming ML, models that update or serve live predictionsFamiliarity with betting / trading / quantitative finance, understanding of odds, overround, market-making, or any domain where calibrated probabilities matterExperience building MLOps infrastructureKnowledge of esports or sports analytics