ChiStats - Data Scientist - Geneartive 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