Data Scientist

Job Summary:

• Lead and contribute to end-to-end solutions powered by Large Language Models (LLMs).
• Drive innovation and practical applications of LLMs to solve complex business problems.
• Collaborate across teams to deliver scalable, value-driven LLM systems.

Responsibilities

• LLM-Centric Solution Development:
• Design, fine-tune, and implement cutting-edge LLMs for business use cases such as content generation, intelligent assistants, semantic search, or knowledge retrieval.
• Evaluate and select appropriate foundation models (e.g., GPT, LLaMA, Mistral) and tailor them to organization-specific domains.
• Build modular, scalable pipelines for LLM applications, including prompt engineering, inference optimization, and feedback loops.
• Collaborative Project Contribution:
• Work closely with Machine Learning Engineer, Data Engineer, DevOps Engineer, Develope...