Job Description

Data Scientist

Job Location : Hyderabad

Should be flexible for night shifts

Responsibilities:

Design, deploy and manage prompt-based models on LLMs for various NLP tasks (preferably in the financial services domain).
Build a chatbot application that takes instructions from users in English and translates into business rules written in SQL.
Build LLM Models that can achieve an accuracy of at least 90% in production.
Work closely with DevOps Architect to deploy and integrate the application on cloud instances.
Work closely with key stakeholders and customers to test and evaluate the application.

Must Haves:

At least 5 years of experience in NLP and deep learning with recent exposure on prompt engineering on LLMs
Experience with prompt design and implementation or chatbot application
Experience in building Streamlit applications and deploy the same on cloud
Programming skills in Python with experience in PyTorch or TensorFlow
Thorough knowledge of deep learning concepts, including attention mechanisms, transformers, and language modeling
Experience in data pre-processing, feature engineering, and data analysis
Excellent problem-solving and the ability to communicate ideas and results to stakeholders and leadership in a clear and concise manner
Ability to work in a fast-paced environment on multiple projects simultaneously
Basic knowledge of deployment processes, including experience with GIT and version control systems for efficient collaboration and code management in MLOps projects
Familiarity with data structures and algorithms, enabling effective problem-solving and optimization in machine learning workflows
Experience with MLOps tools and practices, ensuring seamless integration of machine learning models into production environments
Understanding of the software development lifecycle, with a focus on incorporating machine learning components and adhering to best practices in version control and code quality

Nice to Haves:

Master’s degree or higher in Computer Science, Engineering or related field
Experience in developing and deploying production-grade NLP models in the financial services industry
Knowledge of financial products and services including trading, investment and risk management
Familiarity with machine learning frameworks like scikit-learn and Keras
Experience in developing APIs and integrating NLP models into software applications