ML/Data Engineer

Andersen is hiring an ML/Data Engineer for a project developing an AI-powered sports performance platform and delivering scalable data solutions and real-time insights for athletes and coaches. Our customer is a global technology provider specializing in performance monitoring, data analytics, and operational optimization. It develops software platforms and data-driven solutions that help organizations improve efficiency, gain valuable insights, and make informed decisions.

Serving clients across international markets, the company focuses on innovation and integrated technologies that enhance performance and support long-term growth. The project is focused on developing an AI-powered sports performance intelligence platform that integrates sensor data, video, sports science, and historical athlete performance data. It includes building scalable data infrastructure and machine learning capabilities to deliver reliable, real-time insights for coaches, athletes, and performance teams across a global platform.

Designing and building production data infrastructure for high-volume athlete performance and sensor data. Building and operating real-time and near-real-time ingestion systems for streaming data. Designing storage and data architectures for high-volume time-series data and longitudinal athlete records.

Building infrastructure that makes production features and derived metrics available to machine learning systems and AI agents with low latency. Designing