Description

You will apply machine learning and AI algorithms to uncover insights and solve business challenges.

This role is hybrid.

Responsibilities

• Mine, process, clean, and validate large structured and unstructured datasets.
• Develop and experiment with advanced LLM techniques and Retrieval-Augmented Generation (RAG).
• Build and maintain scalable data pipelines using Snowflake and other modern tools.
• Collaborate with cross-functional teams to integrate models into production systems.
• Perform statistical analysis to support data-driven decision-making.

Required Skills

• 5+ years of professional experience in a data science capacity.
• Proficiency in Python for data science and machine learning applications.
• Hands-on experience with LLMs and generative AI techniques.
• Strong understanding of machine learning algorithms and their practical applications.
• Experience working with Snowflake and implementing RAG-based solutions.
• Experience with data cleansing, validation, and modeling best practices.

Preferred Skills

• Solid foundation in statistical analysis and mathematical modeling.
• Strong interpersonal skills and ability to thrive in a collaborative team environment.

Key Skills

Education

Any Graduate