Role overview
FactSet ( NYSE:FDS | NASDAQ:FDS ) helps the financial community to see more, think bigger, and work better. Our digital platform and enterprise solutions deliver financial data, analytics, and open technology to more than 8,200 global clients, including over 200,000 individual users. Clients across the buy-side and sell-side, as well as wealth managers, private equity firms, and corporations, achieve more every day with our comprehensive and connected content, flexible next-generation workflow solutions, and client-centric specialized support. As a member of the S&P 500, we are committed to sustainable growth and have been recognized among the Best Places to Work in 2023 by Glassdoor as a Glassdoor Employees’ Choice Award winner. Learn more at www.factset.com and follow us on X and LinkedIn .
At FactSet, we celebrate difference of thought, experience, and perspective. Qualified applicants will be considered for employment without regard to characteristics protected by law.
What you'll work on
Build new systems to ingest and enrich data into an ontology.
Monitor and enhance the accuracy, performance, and observability of our GenAI RAG stack.
Evaluate new large language models, tools, and AI engineering techniques.
Improve query planning, optimization, and evaluation infrastructure.
Partner and collaborate with product development leads to identify technical requirements for future product enhancements.
Collaborate with teams across the organization to understand their data.
*What We're Looking For
Required Skills**
2 + years software engineering experience, with a significant portion focused on AI/ML solutions in production environments.
Demonstrated expertise in cloud architecture (AWS) and a range of associated services.
Working knowledge of Natural Language Processing/Machine Learning/Deep Learning concepts and their applications, with a proven track record of successful model development and deployment.
P roficiency in Python, Docker, and API development.
Strong technical writing and presentation skills
Familiarity with relational databases and data modeling techniques.
Bachelor’s degree in computer science, computer engineering, or relevant
What we're looking for
Experience with Cloud platforms such as AWS or Heroku
Experience or knowledge of CI/CD concepts and GitHub
An interest in the financial services domain