Senior Software Engineer (Python-AI/ML) at FactSet in Hyderabad

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 power