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

- Solid mentor for junior machine learning engineers and data scientist.

- Certified in at least one cloud preferably AWS or GCP, preferably in Data field

📌 Senior Consultant | Transformation Excellence | Bengaluru | Technology Strategy & Transformation
🏢 Deloitte
📍 Bengaluru