MLOps Engineer – Sports Analytics and Performance Intelligence (NBA) at Madiff

Worldwide

<span id="spandesc"> <p> This is a remote position. </p> <span lang="EN-US"> <span> <span> We are looking for an MLOps Engineer to support a sports analytics and performance intelligence platform used by professional basketball organisations, including NBA teams. The platform processes large volumes of historical and near real time player, workload, and game event data. </span> </span> <b> <span> </span> </b> <span> <span> Machine learning models generate insights consumed by analysts, coaches, and front office teams, while LangChain and LangGraph based GenAI components orchestrate comparisons, narratives, and interactive exploration. The environment prioritises speed, scalability, and practical impact in live analytical workflows. </span> </span> </span> <span> <span> <b> Responsibilities </b> </span> </span> <ul> <li> <span> <span lang="EN-US"> <span> <span> Deploy and operate machine learning models supporting sports analytics use cases </span> </span> </span> <span> <span> </span> </span> </span> </li> <li> <span> <span lang="EN-US"> <span> <span> Build and maintain pipelines for model training, validation, and deployment </span> </span> </span> <span> <span> </span> </span> </span> </li> <li> <span> <span lang="EN-US"> <span> <span> Support high frequency and time series data processing workflows </span> </span> </span> <span> <span> </span> </span> </span> </li> <li> <span> <span lang="EN-US"> <span> <span> Deploy and manage LangChain and LangGraph based GenAI services </span> </span> </span> <span> <span> </span> </span> </span> </li> <li> <span> <span lang="EN-US"> <span> <span> Implement monitoring for model performance, drift, and data quality </span> </span> </span> <span> <span> </span> </span> </span> </li> <li> <span> <span lang="EN-US"> <span> <span> Ensure reproducibility and version control for models and datasets </span> </span> </span> <span> <span> </span> </span> </span> </li> <li> <span> <span lang="EN-US"> <span> <span> Support fast iteration and experimentation in production-like environments </span> </span> </span> <span> <span> </span> </span> </span> </li> <li> <span lang="EN-US"> <span> <span> Collaborate closely with data scientists and engineers to streamline model lifecycle </span> </span> </span> </li> </ul> </span> <span id="spanreq"> <h3> Requirements </h3> <ul> <li> <span> <span lang="EN-US"> <span> <span> Strong experience in MLOps or ML platform engineering </span> </span> </span> <span> <span> </span> </span> </span> </li> <li> <span> <span lang="EN-US"> <span> <span> Solid Python skills for automation and tooling </span> </span> </span> <span> <span> </span> </span> </span> </li> <li> <span> <span lang="EN-US"> <span> <span> Hands on experience with Docker and Kubernetes </span> </span> </span> <span> <span> </span> </span> </span> </li> <li> <span> <span lang="EN-US"> <span> <span> Experience with MLflow or similar model lifecycle management tools </span> </span> </span> <span> <span> </span> </span> </span> </li> <li> <span> <span lang="EN-US"> <span> <span> Experience building CI/CD pipelines for ML workloads </span> </span> </span> <span> <span> </span> </span> </span> </li> <li> <span> <span lang="EN-US"> <span> <span> Experience working with high volume or time series datasets </span> </span> </span> <span> <span> </span> </span> </span> </li> <li> <span> <span lang="EN-US"> <span> <span> Basic experience with monitoring and observability tooling </span> </span> </span> <span> <span> </span> </span> </span> </li> <li> <span> <span lang="EN-US"> <span> <span> Fluent English for collaboration in an international team </span> <span> </span> </span> </span> <span> <span> </span> </span> </span> </li> </ul> <span> <span> <b> Nice to have </b> </span> <span> </span> </span> <ul> <li> <span> <span> <span> <span> Experience deploying LangChain or LangGraph based services </span> </span> </span> <span> <span> </span> </span> </span> </li> <li> <span> <span> <span> <span> Background in sports analytics or performance data </span> </span> </span> <span> <span> </span> </span> </span> </li> <li> <span> <span> <span> <span> Experience working in fast paced product environments </span> </span> </span> <span> <span> </span> </span> </span> </li> <li> <span> <span> <span> Familiarity with real time or streaming data architectures </span> </span> </span> </li> </ul> </span> <span id="spanben"> <h3> Benefits </h3> <ul> <li> <span> <span lang="EN-US"> <span> <span> Solid, competitive salary </span> </span> </span> <span> <span> </span> </span> </span> </li> <li> <span> <span lang="EN-US"> <span> <span> Work in a multinational environment on international projects </span> </span> </span> <span> <span> </span> </span> </span> </li> <li> <span> <span lang="EN-US"> <span> <span> Comprehensive healthcare </span> </span> </span> <span> <span> </span> </span> </span> </li> <li> <span> <span lang="EN-US"> <span> <span> Long-term B2B contract with a stable project pipeline </span> </span> </span> <span> <span> </span> </span> </span> </li> <li> <span lang="EN-US"> <span> <span> Remote work model </span> </span> </span> </li> </ul> </span>