Senior Data Scientist

Job Responsibilities:

• Machine Learning Engineer with strong knowledge of Python and cloud based deployments
• Hands on experience in Java, Springboot, Quarks and database technologies
• You will be part of hands-on team developing ML based application for the bank using various ML techniques
• You will be required to build and deply ML applications in cloud using NLP, LLMs and other supervised learning techniques.
• You will be required to efficiently understand the data domain of the bank to perform EDA and MI report. And eventually designing and developing ML application on the data for multiple programs.
• 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 ML+MLOps is just a way achieve the goal.

Keyskills Required:

• 8-12 years proven experience as a Data Scientist or Data Analyst
• Machine Learning Engineer with strong knowledge of Python and cloud based deployments
• Hands-on development experience and in-depth knowledge of Java, Golang, Spring boot and front-end technologies
• Have working knowledge of LLMs via APIs like Open AI and deploying open source LLMs like LLAMA2 and FLAN T5 etc
• Working experience of Cloud preferably Azure. Understanding of MLOps frameworks is a big plus