Position Details
About this role
This role involves developing advanced data science models, fine-tuning large language models, and working with generative AI technologies to enhance financial data analysis for a major financial services company.
Key Responsibilities
- Partner with cross-functional teams to deliver AI solutions
- Fine-tune large language models for financial data analysis
- Manage data annotation projects
- Develop and deploy model pipelines
- Leverage emerging AI technologies
Technical Overview
The technical environment includes Python, PyTorch, Hugging Face, Dask, LangChain, and large language models, focusing on data annotation, model pipeline development, and AI-driven insights.
Ideal Candidate
The ideal candidate is a mid-level data scientist with experience in large language models, generative AI, and statistical modeling. They should have hands-on experience with open-source data science tools and cloud computing platforms, and be innovative in applying emerging AI technologies.
Must-Have Skills
Nice-to-Have Skills
Tools & Platforms
Required Skills
Hard Skills
Soft Skills
Industry & Role
Clearance & Visa
Keywords for Your Resume
Deal Breakers
Lack of experience with large language models, No experience in data annotation or data collection, No familiarity with open-source data science tools, Lack of collaboration skills
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