Data Scientist - AI Agent Development

Responsibilities

• Design, fine-tune, and deploy Large Language Models (LLMs) for AI agent applications.
• Implement Retrieval-Augmented Generation (RAG) pipelines to enhance the performance of AI agents in retrieving and generating contextually accurate responses.
• Develop and optimize traditional OCR systems for document digitization and text extraction tasks.
• Integrate OCR outputs with LLM-based AI agents to create seamless workflows for information processing.
• Collaborate with cross-functional teams to identify use cases, gather requirements, and deliver tailored AI solutions.
• Conduct data preprocessing, feature engineering, and model evaluation to ensure robust performance.
• Stay updated on the latest advancements in LLMs, RAG frameworks, computer vision, and OCR technologies.
• Document methodologies, experiments, and results for internal knowledge sharing.

Requirements

• Master’s or Ph.D. in Computer Science, Data Science, Machine Learning, or a related field.
• Strong experience with LLM fine-tuning (e.g., GPT models, BERT) and familiarity with frameworks like Hugging Face or OpenAI APIs.
• Proficiency in traditional OCR techniques using tools such as PaddleOCR models.
• Strong programming skills in Python; familiarity with libraries like PyTorch, TensorFlow, Scikit-learn, or similar.
• Experience with cloud platforms (AWS, Azure, GCP) for deploying machine learning models at scale.
• Excellent problem-solving skills and the ability to work independently or as part of a team.