Machine Learning Engineer building AI/ML systems and enhancing data connections at FactSet. Collaborating in a hybrid team to drive innovations in financial data processing.
About the role
- Software Engineer (Python, TypeScript, API) at FactSet creating generative AI applications. Collaborating on data enrichment and enhancing the infrastructure for financial analytics.
Responsibilities
- 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.
Requirements
- Proficiency in Python, TypeScript, or similar language and its environment
- 2+ years of software engineering experience required
- Proficiency with API design
- Strong technical writing and presentation skills
- Familiarity with relational databases and data modeling techniques
- Bachelor’s degree in computer science, computer engineering, or similar technical field or equivalent practical experience
Benefits
- Flexible work arrangements
- Professional development opportunities
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
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