What Youll Do Collaborate with crossfunctional teams to develop and enhance our GenAIPoweredsmart digital assistantLeverage your expertise in NLP and transformer architectures to create intelligentconversational agents
Dive into the world of traditional NLP techniques and stay ahead of the curveApply your strong understanding of fundamental conceptsstatistics linear algebracalculus regression classification and time series analysisto extract valuableinsights from dataBe the driving force behind our data visualization efforts
Whether its Tableau PowerBI or Cognos youll create compelling visualizations that bring data to lifeContribute to the development of a fantastic visualization layer for analytics makingcomplex insights accessible and actionable
Must Have Skills
NLP Mastery Proficiency in LLMs and transformer architectures Deep understanding of traditional NLP techniquesAgentic Frameworks and Libraries ie LanggraphLangchain Langfuse monitoring and observe MCP
Tech Savvy Proficiency in cloud computing and Python programming Familiarity with Python libraries like Pandas NumPy scikitlearn
Experience with cloud services for model training and deployment3 Machine Learning Fundamentals Statistical concepts for robust data analysis Linear algebra principles for modelling and optimization Calculus for optimizing algorithms and models Predictive modelling techniques for regression and classification Time series analysis for handling timedependent dataDeep learning and neural networks4 LLM Operations
Expertise in managing and operationalizing large language modelsExperience deploying models on cloud platforms AWS SageMaker Google AI Platform IBM Watson
Good to Have Skills
Web Technologies Nodejs and Reactjsbecause were all about creating seamlessuser experiences
Domain Knowledge Retail banking insights would be a plus
Distributed Systems Understanding webbased distributed systems will set youapart
Job Classification
Industry: BankingFunctional Area / Department: Data Science & AnalyticsRole Category: Data Science & Machine LearningRole: Full Stack Data ScientistEmployement Type: Full time