Description

You will design and implement data architectures focused on machine learning and large language model integration.

Responsibilities

• Build and maintain data pipelines supporting LLM and RAG architectures.
• Implement and manage vector databases for AI-driven workflows.
• Develop machine learning models and productionize them within data environments.
• Optimize data storage and processing using Databricks or Snowflake.

Required Skills

• 13+ years of professional experience in data engineering or related fields.
• Proven expertise with LLMs and RAG architecture.
• Hands-on experience with Vector databases.
• Advanced knowledge of Machine Learning principles.
• Deep proficiency with Databricks.
• Strong experience working with Snowflake.
• Degree in any graduate field.

Key Skills

Education

Any Gradute