FactSet
Location
Hyderabad | India
Job description
ABOUT FACTSET
FactSet combines hundreds of databases into a single, powerful information system. It is a one-stop source for financial information and analytics for business analysts, portfolio managers, investment bankers / management firms and other financial professionals to analyze companies, portfolios, markets & economies. Founded in 1978 and operating from 64 locations worldwide employing nearly 10,000 people, FactSet has over $1.1 Billion in annual revenues and is headquartered in Norwalk, Connecticut. Our operations extend within North America as well as Europe and the Pacific Rim. Since 1996, the Company has been publicly traded on the New York Stock Exchange under the symbol FDS and is dual- listed on the NASDAQ under the same symbol -integrated financial and economic information to the investment management and banking industries. Job Requirements: Bachelor’s degree in Computer Science Engineering or Masters degree Experience working with Traditional ML and tools 5+ years software experience object-oriented language (Python) Experience with Data Pipelines related to ML workflows Infrastructure-as-Code deployments (terraform) Experience with Large Language Models (such as OpenAI GPT Models, Llama2) Experience optimizing Large Language Models (LoRA, Quantization) Experience in Natural Language Processing (Word Embeddings, Text Summarization, Intent Detection, Named Entity Recognition) Experience within Financial Services Industry or products a bonus work location - Hyderabad only Some of the areas you will be working on: Working with traditional Machine Learning Techniques and tools Working on deploying MLOps and LLMOps Tools and Ecosystems such as MLFlow, AWS Sagemaker, GCP Vertex AI or comparable ML tooling across the firm Managing, optimizing data pipelines related to RAG and other ML Workflows Usage of Python in a data-intensive environment Working to deploy, automate with cloud-based IaC tools for fully automated deployments Using and leveraging REST interfaces and various API endpoints to integrate multiple tools at FactSet Diversity: At FactSet, we celebrate diversity of thought, experience, and perspective. We are committed to disrupting bias and a transparent hiring process. All qualified applicants will be considered for employment regardless of race, color, ancestry, ethnicity, religion, sex, national origin, gender expression, sexual orientation, age, citizenship, marital status, disability, gender identity, family status or veteran status. FactSet participates in E-Verify. Return to Work: Returning from a break? We are here to support you! If you have taken time out of the workforce and are looking to return, we encourage you to apply and chat with our recruiters about our available support to help you relaunch your career.Job tags
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