Position Details
About this role
This role involves developing and optimizing large language models, supporting AI inference and evaluation, and building scalable AI infrastructure for financial services applications.
Key Responsibilities
- Develop AI software components
- Train and evaluate large language models
- Optimize models for performance and cost
- Support AI infrastructure
- Implement scalable AI solutions
Technical Overview
The technical environment includes AI frameworks like PyTorch and Huggingface, with a focus on LLM training, inference, optimization, and AI infrastructure tools such as AWS Ultraclusters and VectorDBs.
Ideal Candidate
The ideal candidate is a mid-level AI/ML engineer experienced with large language models, model training, inference, and optimization. They are familiar with AI infrastructure tools like PyTorch and Huggingface, and can develop scalable AI solutions in a financial services environment.
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 large language models, No familiarity with AI infrastructure tools, Unable to demonstrate experience with model optimization, No experience in scalable AI deployment
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