Support the ML team with feature engineering, model selection, training, validation, and testing
Analyze datasets to evaluate their suitability and contribution to projects
Collaborate closely with data scientists and data engineers to enhance pipeline performance
Our requirements
At least 3 years of experience in classical ML pipelines
Hands-on knowledge in feature engineering and models such as XGBoost, LightGBM, MLP, autoencoders, etc.
Advanced SQL skills in standard language and proficiency with Python APIs (PySpark, pandas)
A detail-oriented and diligent personality with excellent communication skills
Optional
Knowledge of Apache Spark
What we offer
Stable and long-term cooperation with very good conditions
Enhance your skills and develop your expertise in the financial industry
Work on the most strategic projects available in the market
Define your career roadmap and develop yourself in the best and fastest possible way by delivering strategic projects for different clients of ITDS over several years
Participate in Social Events, training, and work in an international environment