Machine Learning Engineer, Factset
OPS, LLM - Open AI GPT Models
Business data & analytics for finance
Open for applications
Business data & analytics for finance
1001+ employees
Open for applications
1001+ employees
Company mission
To help investment professionals throughout the world by providing analytical insight from raw financial data.
Role
Who you are
- 3+ years of software experience in object-oriented language
- Experience with Data Pipelines related to ML workflows
- Infrastructure-as-Code deployments
- Experience working with Traditional ML and tools
- Experience with Large Language Models (such as OpenAI GPT Models, Llama2)
- Experience within the Financial Services Industry or products a bonus
- Bachelor’s degree in computer science, engineering, mathematics, or a related field
What the job involves
- FactSet is seeking an experienced Machine Learning Operations Engineer to lead the development and maintenance of our next-generation Machine Learning Platform
- The successful candidate will be responsible for integrating and maintaining model and prompt libraries, assisting our software and machine learning engineers in fine-tuning and deploying models, championing emerging AI technologies, and promoting good data practices
- This position involves managing complex ML pipelines, harnessing cloud infrastructure, and utilizing Python and REST interfaces to enable Commercial and Open-Source Large Language Models at FactSet
- Develop and maintain machine learning pipelines to support our machine learning models
- Ensure the integration and maintenance of model and prompt libraries
- Assist in fine-tuning, testing, and deploying sophisticated machine learning models
- Utilize Infrastructure as Code (IaC) for managing and provisioning through the complete lifecycle of cloud resources
- Collaborate closely with the Data Engineering and our Artificial Intelligence and Machine Learning teams to ensure seamless adoption of traditional ML and Large Language Models into our products
- Develop, integrate, automate, and deploy to optimize the interaction between different system components
- 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 and optimizing data pipelines related to RAG and other ML Workflows
- Usage of Python in a data-intensive environment
- Working to deploy and 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
Salary benchmarks
Our take
FactSet is an S&P 500 company creating flexible, open data solutions for investment professionals around the globe. The company was founded at the end of the 1970s, when the prominence of computers spurred the founders to find a way to deliver computer-based financial information. In doing so, FactSet revolutionized the delivery of this data to clients, which had previously been by messenger and on paper.
Investors use FactSet to access instant financial data and analytics that educate their investment decisions. In 2022, FactSet for CRM launched on the Salesforce AppExchange; reaching users looking to get a complete, reliable view of current and prospective customers. As it has grown, the company has continuously responded to changes in the market, and innovated its operations.
As part of the company’s efforts to help clients modernize and improve their market data technology, FactSet partnered with data and analytics company BMLL to offer order book history and analytics in the cloud. The company has also made steps into the cryptocurrency space by collaborating with Coin Metrics, integrating Coin Metrics’ digital assets data into its solutions, whilst embarking on a series of strategic fintech acquisitions over 2023 and 24.
Kirsty
Company Specialist
Insights
Company
Funding (1 round)
May 2003
$0.2m
SEED
Total funding: $0.2m
Company benefits
- A competitive package offering generous paid time off for personal, vacation, parental, and medical leave.
- Comprehensive health coverage for employees and their families, at little or no cost to employees.
- Discounted services at gyms and wellness facilities.
- Free working lunch in the office Monday through Thursday.
- A social community involved in sports, charities, and in-office events.
- Certification reimbursement for eligible expenses related to the CFA, IPM, CAIA, and FRM exams.
Company values
- Who We Are: We are an inclusive community unified by the FactSet spirit of going above and beyond. Our best ideas can come from anyone, anywhere, at any time.
- How We Work: We roll up our sleeves to solve tough problems together. We learn from our successes and our failures and continually push each other to do better.
- What We Promise: We continuously look ahead to advance the future of our industry. We relentlessly seek value for our clients because their success is our success.
- How We Compete: Our clients see us as part of their team. We win as a team, and we celebrate our wins together.
- What We Aspire To: As big as we grow, as far as our reach, and as successful as we become, we stay connected to our clients and to each other.
Company HQ
Norwalk, CT
Articles
Leadership
Phil Snow
(CEO, not founder)Has worked at FactSet since 1996, including in various leadership roles within Global Content Sales and Americas Sales.
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