Data Scientist

Qualifications: 
Bachelor’s or Master’s degree in Computer Science, Engineering, Mathematics, Data Science, or a related field.
5+ years of experience in machine learning and data engineering roles.
Experience with prompt engineering and fine-tuning large AI models.
Familiarity with Retrieval-Augmented Generation (RAG) techniques.
Proficiency in designing graph databases using tools like AWS Neptune, Neo4J or NetworkX.
Proficiency in Python, with a strong understanding of libraries such as TensorFlow, PyTorch, and Scikit-learn.
Extensive experience with AWS services relevant to machine learning, including SageMaker, Glue and PySpark.
Experience with secure API integration and a solid understanding of data security practices.
Strong understanding of data preprocessing, feature engineering, and model training/evaluation.
Experience with model monitoring, performance analysis, and optimization techniques.
Familiarity with model governance frameworks, including MDLC and MPLC processes.