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Data Scientist - AI Agent Development

Binance
Global
Full time
Remote

Overview

Department

Data Science & Analytics

Job type

Full time

Compensation

Salary not specified

Location

Global

Company size

Start Up [ <10 employees ]

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Binance seeks a skilled Data Scientist to develop domain AI agents for operational tasks, leveraging LLMs, RAG pipelines, and OCR technologies. The role requires engineering experience for system integration.

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.

    • 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.
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