Senior GenAI/LLM Data Scientist – Applied AI

Testing Site - JPMC; Jersey City (NJ); Presencial; USD 140.000 - 190.000; Tempo integral

Resumo da vaga

JPMorgan Chase's Legal Applied AI/ML team in Corporate Technology is seeking an Applied AI ML Data Scientist-Senior Associate to study complex business problems and apply advanced algorithms to develop AI/ML applications.

You will collaborate with product managers, data scientists, ML engineers, and other stakeholders to deliver GenAI/LLM solutions, train and evaluate models, and present insights to non-technical audiences.

Qualificações

• PhD or MS/BS in CS with 1+ or 2+ years of relevant experience.
• Practical expertise with LLM projects and production AI/ML deployment.
• Strong Python and SQL; familiarity with R/Java or similar.

Responsabilidades

• Collaborate with product managers, data scientists, ML engineers, and stakeholders to define use cases.
• Develop GenAI and LLM solutions to solve business problems.
• Tune generative models for GenAI use cases and ensure high-quality outputs.
• Execute data wrangling, model training, testing, and selection processes.
• Infer insights from analyses and present them to diverse audiences.
• Explain AI/GenAI capabilities to both technical and non-technical audiences.
• Stay current with AI research and integrate external APIs for enhanced functionality.

Conhecimentos

LLM projects

Python

SQL

TensorFlow

PyTorch

Scikit-learn

OpenAI API

GenAI

Data analysis

Model deployment

Formação

PhD in Computer Science or related field

MS/BS in Computer Science or related field

Ferramentas

TensorFlow

PyTorch

Scikit-learn

OpenAI API

Descrição da vaga

JPMorgan Chase's Legal Applied AI/ML team in Corporate Technology is seeking an Applied AI ML Data Scientist-Senior Associate to study complex business problems and apply advanced algorithms to develop AI/ML applications.

You will collaborate with product managers, data scientists, ML engineers, and other stakeholders to deliver GenAI/LLM solutions, train and evaluate models, and present insights to non-technical audiences.