About this role
Summary: The Senior Consultant will build and deploy AI models, GenAI applications, and MLOps platforms to solve complex banking business problems. The role involves developing ML-based applications using Python, cloud deployments, and advanced AI techniques like RAG and LLMs to drive revenue and operational efficiency.
Job Purpose
A data scientist turns raw data into valuable applications that an organization needs in order to grow
and compete. He/she builds AI models, GenAI applications/platforms with MLOPs that solve real
complex banking business problems.
Job Responsibilities
• Machine Learning Engineer with strong knowledge of Python, Data Science, GenAI,
MLOps and cloud based deployments
• Has fair understanding of GenAI related eco-system like RAG, LLM, VectorDB, Prompting,
Embedding etc
• Build, train and deploy models for inferencing and build surrounding APIs to access them
on cloud and on-prem.
• You will be part of hands-on team developing ML based applications for the bank using
various Generative AI and AI/ML techniques
• You will be required to build and deploy ML applications in cloud using NLP, LLMs and
other related tools and technologies
• Use data to change the economic ecosystem of the bank and Indian Financial space.
• The logo of the team is data can create magic and revenue streams for the bank and
GenAI + ML+MLOps is just a way achieve the goal.
• Fine tuning and creating inference services using cutting edge technologies vLLM,
Adaptors
• Strong mentor for junior machine learning engineers and data scientist.
• Certified in at least one cloud preferably AWS or GCP, preferably in Data field