Description

You will apply machine learning and data engineering expertise to develop and optimize large-scale AI models.

Responsibilities

• Develop and fine-tune large AI models using prompt engineering and RAG techniques.
• Design and implement graph databases using AWS Neptune, Neo4J, or NetworkX.
• Execute data preprocessing, feature engineering, and model training/evaluation workflows.
• Monitor model performance and implement optimization and governance techniques including MDLC and MPLC.
• Integrate secure APIs while maintaining strict data security practices.

Required Skills

• 5+ years of experience in machine learning and data engineering roles.
• Proficiency in Python and libraries including TensorFlow, PyTorch, and Scikit-learn.
• Extensive experience with AWS services such as SageMaker, Glue, and PySpark.
• Hands-on experience with prompt engineering and fine-tuning large AI models.
• Familiarity with Retrieval-Augmented Generation (RAG) techniques.
• Experience designing graph databases with AWS Neptune, Neo4J, or NetworkX.
• Strong understanding of secure API integration and data security.
• Bachelor’s or Master’s degree in Computer Science, Engineering, Mathematics, Data Science, or a related field.

Key Skills

Education

Bachelor’s or Master’s degree in Computer Science