Senior Software Engineer Python-AI ML

FactSet; Hyderabad; Vor Ort; INR 2.500.000 - 4.200.000; Vollzeit

Benefits dieser Stelle

Health insurance

Life insurance

Disability insurance

Retirement plan

Employee stock purchase program

Paid time off

holidays

Family leave

Wellness days

Flexible work arrangements

Learning & development

Employee Resource Groups

Zusammenfassung

FactSet is hiring a seasoned software engineer to design, deploy, and fine-tune large language models and NLP workflows. You will lead prompt engineering, build reusable Python pipelines, and guide AI/ML framework adoption across teams.

You will tackle cloud deployment, containerization, and on-call support while collaborating with stakeholders to deliver scalable data solutions.

Qualifikationen

• 5-8 years of industry experience in Python designing, developing, and deploying scalable applications.
• Experience with API development (FastAPI/REST).
• Experience with ETL pipelines and data processing.
• Hands-on with LLM prompt engineering and fine-tuning.
• Experience deploying AI/ML services on cloud (AWS/Azure/GCP) and using containers.
• Familiar with GitHub-based development processes.

Aufgaben

• Design, fine-tune, and deploy small and open-source large language models using Llama, Mistral, GPT, etc.
• Lead prompt engineering and build NLP/NLU workflows.
• Guide adoption of AI/ML frameworks (Transformers, LangChain) and architect Python pipelines.
• Drive systems architecture in Python with API and microservices design (FastAPI/Flask/Django).
• Provide technical guidance on architecture, design, and implementation decisions.
• Support production via incident resolution and troubleshooting.
• Maintain code quality through reviews and standards adherence.
• Collaborate with stakeholders and engage in constructive technical discussions.
• Augment technical decisions with broader business understanding.

Kenntnisse

Python

API development

ETL pipelines

LLM prompt engineering

Cloud deployment

Containers

GitHub workflows

Agile

On-call readiness

Ausbildung

Bachelor's or Master's in Computer Science

Jobbeschreibung

Job Description:

FactSet creates flexible, open data and software solutions for over 200,000 investment professionals worldwide, providing instant access to financial data and analytics that investors use to make crucial decisions.

At FactSet, our values are the foundation of everything we do. They express how we act and operate, serve as a compass in our decision-making, and play a big role in how we treat each other, our clients, and our communities. We believe that the best ideas can come from anyone, anywhere, at any time, and that curiosity is the key to anticipating our clients’ needs and exceeding their expectations.

Your Team Impact

FactSet's Funds Engineering team under DSE is focused on delivering Funds data (e.g., fund expense ratio, daily price & info data) coming from different sources by providing database solutions and automated processes which follow an Extract-Transform-Load (ETL) procedure. We develop & maintain an internal data collection application, Fast APIs to collect the required data. We also manage funds data distribution services, routinely increasing efficiency year over year through automation. We are looking for a candidate who is independent, driven, and has strong communication skills and technical knowledge, who will help the team contribute to the company’s goals and help to provide our clients with the data they need to make informed decisions. A passionate software engineer with proficiency in development, deployment of software & follows coding best practices.

What You’ll Do

• Design, fine-tune, and deploy small and open-source large language models (LLMs) such as Llama, Mistral, OpenAI GPT, etc.
• Hands-on leadership in prompt engineering, few-shot prompting, and building advanced NLP/NLU workflows.
• Guide adoption of modern AI/ML frameworks (Hugging Face Transformers, LangChain, LangGraph, etc.) and architect reusable pipelines in Python.
• Drive critical systems architecture in Python, using best practices in API and microservices design (FastAPI, Flask, Django, etc.).
• Provide technical guidance to the development team on architecture, design, and implementation decisions.
• Provide technical support by incident resolution, and production troubleshooting
• Code quality through code reviews, advocating coding standards, and identifying risks before code reviews.
• Should collaborate with stakeholders and the healthy technical discussions engineering team.
• Supplements technical decision-making skills with broader business knowledge

What We’re Looking For

• 5-8 years of overall industry experience in Python designing, developing, and deploying applications, ensuring they are scalable, efficient, and maintainable.
• Candidate should have experience in API development (Fast/Rest)
• Experience with ETL pipelines.
• Bachelor’s or master’s degree in computer science
• Experience with relational database (MySQL, MSSQL, or similar RDBMS)
• Hands-on experience with AI/ML technologies and integrating AI capabilities into applications
• Must have strong real-world experience in LLM prompt engineering, few-shot prompting, and fine-tuning (using anyone frameworks like Hugging Face, LangChain, LangGraph, etc.).
• Hands-on deployment and scaling of AI/ML services on AWS, Azure, or GCP; proficient in containers, serverless, and infrastructure as code
• Actively uses AI tools (e.g., GitHub Copilot, ChatGPT, Cursor) in daily development workflows
• Strong Communication and problem-solving skills.
• Flexible with time zones/shifts and a willingness to handle on-call responsibilities
• Experience with GitHub-based development processes
• Organized, self-directed, and resourceful with the ability to appropriately prioritize work in a fast-paced environment

Desired Skills

• Familiar with Agile software development (Scrum is a plus).

What's In It For You

At FactSet, our people are our greatest asset, and our culture is our biggest competitive advantage. Being a FactSetter means:

• The opportunity to join an S&P 500 company with over 45 years of sustainable growth powered by the entrepreneurial spirit of a start-up.
• Support for your total well-being. This includes health, life, and disability insurance, as well as retirement savings plans and a discounted employee stock purchase program, plus paid time off for holidays, family leave, and company-wide wellness days.
• Flexible work accommodations. We value work/life harmony and offer our employees a range of accommodations to help them achieve success both at work and in their personal lives.
• A global community dedicated to volunteerism and sustainability, where collaboration is always encouraged, and individuality drives solutions.
• Career progression planning with dedicated time each month for learning and development.
• Business Resource Groups open to all employees that serve as a catalyst for connection, growth, and belonging.

Learn More About Our Benefits Here.

Salary is just one component of our compensation package and is based on several factors including but not limited to education, work experience, and certifications.

Company 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 atwww.factset.comand follow us onXandLinkedIn.

At FactSet, we celebrate difference of thought, experience, and perspective. Qualified applicants will be considered for employment without regard to characteristics protected by law.