Data Scientist - Gen AI

About ChiStats

• ChiStats is an award-winning Data Science and AI
• Engineering company building intelligent technology solutions for the Financial
• Services and BFSI ecosystem. From AI-powered compliance platforms to scalable
• data products, we help financial institutions simplify complexity, automate
• operations, and stay ahead in a rapidly evolving regulatory landscape. Our
• flagship platform, ComplianceAssist, enables Mutual Funds, AMCs, PMS, and AIFs
• to transform regulatory compliance into a streamlined, automated, and insight-driven
• process.
• As we continue to expand, we are building the next
• generation of AI-led products and solutions for the WealthTech industry.
• We are especially seeking someone with a strong foundation
• in Generative AI someone who is excited by the possibilities of Large Language
• Models (LLMs) and understands how to balance cutting-edge experimentation with
• practical implementation.
• Working Hours : 2
• : 30 PM to 11 : 30 PM IST
• Work Mode : Hybrid

Key Responsibilities

• Design, develop, and deploy GenAI applications to solve

complex business problems

• Integrate various LLM APIs into production systems
• Perform advanced text analysis using both traditional

machine learning methods and modern GenAI approaches

• Collaborate with cross-functional teams to understand

business requirements and translate them into technical solutions

• Stay current with the latest developments in the GenAI

space and implement new techniques as appropriate

• Document and communicate technical concepts to technical

stakeholder

• Participate in the entire machine learning lifecycle from

problem definition to deployment and monitoring

Requirements

Qualifications

• Bachelor's degree in Computer Science, Engineering, or

related technical field

• Minimum 2 years of demonstrable experience in data

science or related roles

Must Have Skills

• Proven expertise in developing GenAI applications and

working with LLM APIs

• In-depth knowledge of various LLMs and their practical

applications

• Strong proficiency in Python, particularly for API

development and integration

• Experience with traditional machine learning methods for

text analysis

• Excellent problem-solving skills and attention to detail
• Strong communication and collaboration skills
• Experience with popular LLM frameworks such as LangChain,

LlamaIndex, or similar tools will be preferred

• Familiarity with fine-tuning and prompt engineering

techniques will be preferred

• Knowledge of model evaluation metrics and optimization

method will be preferred

• Experience with cloud platforms (AWS, Azure, GCP) will be

preferred