Job Description

This role is for a Senior ML/LLM Engineer with strong data science capabilities and a significant focus on API development and full-stack engineering principles . They will be responsible for the end-to-end lifecycle of machine learning solutions, from model conception and development to building robust, scalable APIs and integrating them into production applications.

Qualifications

• Statistical Models & Machine Learning: Develop, test, and validate statistical and machine learning models in Python. Explore, select, and prepare datasets, including feature engineering using libraries such as NumPy , Pandas , Polars , and SciPy .
• Advanced ML Libraries: Develop and implement classification, regression, and other predictive models leveraging libraries such as Scikit-learn , XGBoost , LightGBM , CatBoost, and deep learning frameworks like TensorFlow/Ker...