
Machine Learning Engineer
His work spans industries and data types, including recommendation systems and complex tabular datasets.
He has demonstrated leadership in collaborative environments, contributing to and guiding teams through diverse machine learning projects. Milos is adept in the full machine learning lifecycle—from data acquisition and preprocessing to model training, evaluation, and deployment.
His technical capabilities include building models from the ground up as well as optimizing and adapting open-source solutions to meet specific business needs. Milos’s ability to blend deep technical expertise with practical application makes him a valuable contributor to AI-driven initiatives.



Engineering excellence
Milos’s overall performance in a 90-minute live technical assessment ranks in the top 5% of vetted Machine Learning Engineers at Proxify.
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