Position Details
About this role
This role involves developing and deploying advanced AI and NLP models, including LLMs and knowledge graph analytics, to support complex AI architectures in the financial services sector. The candidate will work with cutting-edge technologies to enhance AI capabilities.
Key Responsibilities
- Develop AI/ML/NLP solutions
- Implement LLMs and RAG techniques
- Integrate knowledge graph analytics
- Optimize AI models
- Collaborate with technical teams
Technical Overview
Focus on AI/ML/NLP solutions using Python and Java, deploying large language models, knowledge graph analytics, and integrating with vector stores and graph databases within a financial risk environment.
Ideal Candidate
The ideal candidate is a senior AI/ML/NLP specialist with over 9 years of experience in developing large language models, knowledge graph analytics, and deploying AI solutions in a financial environment. They should be proficient in Python, familiar with LLMs, and capable of working with complex graph and vector database technologies.
Must-Have Skills
Nice-to-Have Skills
Tools & Platforms
Required Skills
Hard Skills
Soft Skills
Industry & Role
Keywords for Your Resume
Deal Breakers
Lack of experience with Python or AI/ML solutions, No experience with LLMs or knowledge graph analytics, Unfamiliarity with Linux or Graph Databases
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