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 solid 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
Solid mentor for junior machine learning engineers and data scientist.
Certified in at least one cloud preferably AWS or GCP, preferably in Data field