Description

Responsibilities:
Design, develop, and fine-tune Generative AI solutions using models like Google s Gemini for tasks such as information extraction, document summarization, and report generation.
Architect and implement advanced Retrieval-Augmented Generation (RAG) systems to enhance model accuracy and provide verifiable, context-aware responses.
Research and apply emerging GenAI techniques, such as agentic frameworks, to build more autonomous and capable systems.
Design and deploy a wide range of ML models (classification, regression, forecasting, etc.) on Google Cloud Platform.
Build and maintain robust, automated MLOps pipelines for data preprocessing, feature engineering, model training, validation, and deployment using tools like Vertex AI and BigQuery.
Conduct deep data analysis to uncover insights, validate hypotheses, and guide feature engineering for improved model performance

Key Skills

Education

Any Graduate