Senior Data Scientist

Job Purpose

A data scientist turns raw data into valuable insights that an organization needs in order to grow and compete. He/she interprets and analyze data from multiple sources to come up with imaginative solutions to problems.

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.

Key Skills

• 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 like Angular, Vue
• Excellent engineering skills in designing and implementing scalable solutions
• Strong knowledge of EDA, NLP, Topic Modeling, NER, Embedding models and Semantic Search based techniques
• Have working knowledge of LLMs via APIs like Open AI and deploying open source LLMs like LLAMA2 and FLAN T5 etc.
• Strong knowledge of Lang Chain framework and Fast API of python is a must have.
• Worked on deploying service and inference APIs on the cloud.
• Working experience of Cloud preferably Azure.
• Understanding of MLOps frameworks is a big plus.
• Knowledge of Classification, Q&A network using BERTetc.
• Strong knowledge of tensorflow and pytorch frameworks.
• Experience using business intelligence tools (e.g. Tableau) and data frameworks (e.g. Apache Spark) is a big plus.
• Understanding of machine-learning and operations research
• Analytical mind and business acumen paired with problem-solving ability
• Excellent communication and presentation skills