25 Aug
|
Chistats
|
India
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 robust 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 up-to-date 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 current 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 prac
📌 Data Scientist Pune (India)
🏢 Chistats
📍 India