About the Role
About Role:
We are seeking a Data Scientist with hands-on experience in LLMs and Generative AI to design, develop, and deploy data-driven and AI-powered solutions. The role involves working with structured data, machine learning models, and LLM-based applications such as chatbots, assistants, and intelligent automation systems.
Key Responsibilities:
Analyze large datasets to extract insights and support data-driven decision-making.
Build, train, and evaluate machine learning models for predictive and analytical use cases.
Work with Large Language Models (LLMs) such as GPT-based models, open-source LLMs, or similar frameworks.
Design and optimize prompt engineering, embeddings, and retrieval-based pipelines (RAG).
Fine-tune or adapt LLMs for domain-specific use cases where required.
Collaborate with engineering teams to integrate LLM-powered solutions into production systems.
Develop dashboards, reports, and visualizations to communicate insights and model re...
We are seeking a Data Scientist with hands-on experience in LLMs and Generative AI to design, develop, and deploy data-driven and AI-powered solutions. The role involves working with structured data, machine learning models, and LLM-based applications such as chatbots, assistants, and intelligent automation systems.
Key Responsibilities:
Analyze large datasets to extract insights and support data-driven decision-making.
Build, train, and evaluate machine learning models for predictive and analytical use cases.
Work with Large Language Models (LLMs) such as GPT-based models, open-source LLMs, or similar frameworks.
Design and optimize prompt engineering, embeddings, and retrieval-based pipelines (RAG).
Fine-tune or adapt LLMs for domain-specific use cases where required.
Collaborate with engineering teams to integrate LLM-powered solutions into production systems.
Develop dashboards, reports, and visualizations to communicate insights and model re...
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