ML/AI Engineer - Classical ML

Description: Join the Data Science and AI Competency Center as an ML/AI Engineer. Develop and maintain production ML pipelines, recommendation systems, and ranking models using Python and Spark/PySpark. Requirements: Minimum 6 years of experience in machine learning engineering or related roles. Strong Python programming skills and hands-on experience with Databricks, Spark/PySpark, and production ML pipelines. Knowledge of MLflow, model monitoring, data drift, and model governance. Strong SQL skills and experience with LightGBM, XGBoost, and ranking models. Benefits: 100% remote work with flexible hours and stable employment since 2008. Comprehensive onboarding, unlimited access to Udemy, and support for upskilling with 110+ training opportunities yearly. Opportunities for internal promotions, a diverse community, and activities supporting well-being and charity.