Your role and responsibilities:
In this role, you will have the opportunity to deliver and implement analytics strategy in one or more functional areas. Each day, you will drive data-driven strategy and decision making for predictive analytics and optimization by leveraging Artificial Intelligence (AI) and Machine Learning (ML). You will also showcase your expertise by building and maintaining large-scale statistical models that turn billions of data points into insights and actions.
The work model for the role is: LI #Hybrid
This role is contributing to the Process Automation Business of Energy division in Bangalore .
You will be mainly accountable for:
- Support cross-functional projects using advanced data modeling and analysis techniques to discover insights that will guide strategic decisions and uncover optimization opportunities.
- Implement wide range of projects, building large-scale distributed fine tuning, deploying LLMs on GPU instances for real-time use cases, designing robust, secure infrastructure.
- Build, develop, and maintain analytical models that support key business decisions.
- Oversee the scaling of analytics projects on cloud platforms to ensure seamless functionality and integration with business operations
Qualifications for the role (Mandatory)
- Master’s degree in computer science, Statistics, Applied Mathematics, or related scientific field.
- 5+ years of experience in a data science role, with a focus on analytics and data modeling in cloud environments.
- Relevant experience with Large Language Models, NLP, large-scale systems and data sets, deep learning, or adjacent fields.
- Well versed with production data pipelines and applications
- Strong problem-solving skills and passionate about GenAI to contribute to user-facing product
- Familiarity with NoSQL databases, enterprise search technologies, and recommendation systems
- Command using statistical computer languages (R, Python, SQL, etc.), SQL, Spark to manipulate data and draw insights from large data sets.