The Assistant Manager – AI & Machine Learning will support the development of
advanced analytics and AI-driven solutions to enhance digital banking
performance, customer engagement, and marketing effectiveness. The role focuses
on leveraging customer digital footprint data across digital channels to
generate insights, develop predictive models, and optimize digital marketing
campaigns and customer journeys.
In addition to traditional machine learning expertise, the role requires
foundational AI Engineering capabilities, including familiarity with Large
Language Models (LLMs) and their application in banking use cases such as
customer support automation, intelligent search, and digital engagement
solutions.
The role requires solid analytical capability, technical expertise in machine
learning, and the ability to translate digital behavioral data into actionable
insights that support business growth and customer experience initiatives.
Ability to deliver Use cases in RM Efficiency/Productivity improvement
Have worked in SME Banking / SME Digital banking / Commercial Banking /
Corporate Banking Portfolio and Identity Opportunities at scale.
Portfolio Analytics on CASA Portfolio to support CASA Squad and Product team
Bringing robust tracking and campaign fulfillment process for Liabilities /Trade
Finance/ Working Capital/FX
* Develop and deploy machine learning models to support digital banking use
cases such as customer segmentation, churn prediction, next-best-product
recommendations, and campaign targeting.
* Implement predictive analytics models to improve customer engagement and
product adoption across digital channels.
* Continuously monitor model performance and refine algorithms to improve
accuracy and business impact.