Position Details
About this role
This role involves developing and deploying large language models and AI solutions within the financial services industry. The candidate will focus on research, fine-tuning, and operationalizing AI models at scale.
Key Responsibilities
- Design and validate domain-specific LLM solutions
- Build evaluation frameworks
- Develop knowledge graphs and semantic search
- Collaborate with engineering teams
- Conduct experiments to benchmark model performance
Technical Overview
The position requires expertise in NLP, LLM, GenAI, knowledge graphs, and cloud deployment using AWS, Azure, or GCP. Strong skills in Python and ML frameworks are essential.
Ideal Candidate
The ideal candidate is a senior data scientist with over 3 years of experience in applied machine learning, NLP, and large language models. They should have hands-on experience with GenAI, knowledge graphs, and deploying scalable AI solutions in cloud environments.
Must-Have Skills
Nice-to-Have Skills
Tools & Platforms
Required Skills
Hard Skills
Soft Skills
Industry & Role
Keywords for Your Resume
Deal Breakers
Less than 3 years of experience in NLP or ML, Lack of hands-on experience with LLMs or GenAI, No experience with cloud platforms or MLOps, Inability to work collaboratively in research teams, No proficiency in Python or ML libraries
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