Data Scientist - Gen AI

About Chi. Stats : Chi. Stats 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, Compliance. Assist, 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 Wealth. Tech 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 Lang. Chain, Llama. Index, 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