Description

You will engineer data infrastructure and generative AI solutions for financial applications.

This role is on-site.

Responsibilities

• Design and implement GraphDB and VectorDB solutions for structured and unstructured financial data.
• Build knowledge graph pipelines integrating multiple sources to support LLM fine-tuning and RAG workflows.
• Set up scalable data pipelines for model training, embedding generation, and data pre-processing.
• Deploy and optimize model hosting for fast inference on on-prem or cloud GPU servers.
• Collaborate with AI researchers and ML engineers to prepare data and infrastructure for LLM fine-tuning.

Required Skills

• 10+ years of experience in data engineering or a related field.
• Expertise in Data and Generative AI (GenAI) concepts.
• Hands-on experience with Large Language Models (LLM).
• Proficiency with GraphDB technologies.
• Experience implementing and managing VectorDB solutions.
• Familiarity with the Finance domain.

Key Skills

Education

Any Graduate