Description:
Technology requirements: Hands-on experience building predictive models, especially in scenarios with limited sample sizes and complex business constraintsProficiency with clustering and dimensionality reduction techniques, with the ability to translate insights into business value.Exposure to Generative AI models (e.g., LLMs, diffusion models) and an interest in applying them to real-world data challenges.Proficiency in Python and common ML libraries (e.g., scikit-learn, XGBoost, pandas);Famili
Jun 19, 2025;
from:
dice.com