Data Scientist - Gen AI
Summary
ChiStats is seeking a Data Scientist to design, develop, and deploy Generative AI applications and LLM-based solutions for the WealthTech and financial services sector. The role involves the full machine learning lifecycle, from integrating LLM APIs to performing advanced text analysis.
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
- 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