Teams at Kaleris

Design, build, and maintain production ML systems for logistics: end-to-end workflows (ingest, features, training, deployment), model serving/APIs, CI/CD automation, monitoring, drift detection, A/B testing, and collaboration with data scientists and product teams.

Lead architecture and delivery of scalable ML/RL platforms, establish data quality and observability, optimize production workflows, run technical reviews, translate business goals into model objectives, and mentor engineers and data scientists.

The Product Manager oversees the railroad-centric applications, guiding products from conception to launch, optimizing cargo management workflows, engaging with customers, and working cross-functionally with teams.