Data Scientist - AI Agent Development

4 Months ago • All levels • Data Analysis

Job Summary

Job Description

Binance is seeking a skilled Data Scientist to develop domain AI agents for operational tasks. The role involves designing, fine-tuning, and deploying Large Language Models (LLMs), implementing Retrieval-Augmented Generation (RAG) pipelines, and developing traditional Optical Character Recognition (OCR) systems. The candidate will collaborate with developers to integrate solutions, conduct data preprocessing, feature engineering, and model evaluation. Responsibilities also include staying updated on the latest advancements in AI technologies and documenting methodologies. A Master's or Ph.D. in a relevant field with strong Python programming skills and experience with LLM frameworks and OCR tools is required.
Must have:
  • Master's or Ph.D. in Computer Science, Data Science, Machine Learning, or related field
  • LLM fine-tuning experience (e.g., GPT, BERT)
  • Familiarity with Hugging Face or OpenAI APIs
  • Proficiency in traditional OCR techniques (e.g., PaddleOCR)
  • Strong Python programming skills (PyTorch, TensorFlow, Scikit-learn)
  • Experience with cloud platforms (AWS, Azure, GCP)
  • Excellent problem-solving skills
Good to have:
  • Experience with computer vision technologies
  • Engineering experience for system integration
Perks:
  • Shape the future with the world’s leading blockchain ecosystem
  • Collaborate with world-class talent
  • Tackle unique, fast-paced projects with autonomy
  • Results-driven workplace with career growth opportunities
  • Competitive salary and company benefits
  • Work-from-home arrangement

Job Details

Binance is a leading global blockchain ecosystem behind the world’s largest cryptocurrency exchange by trading volume and registered users. We are trusted by over 250 million people in 100+ countries for our industry-leading security, user fund transparency, trading engine speed, deep liquidity, and an unmatched portfolio of digital-asset products. Binance offerings range from trading and finance to education, research, payments, institutional services, Web3 features, and more. We leverage the power of digital assets and blockchain to build an inclusive financial ecosystem to advance the freedom of money and improve financial access for people around the world.

We are seeking a highly skilled and motivated Data Scientist to join our team, focusing on the development of domain AI agents for specific operational tasks handling;  The ideal candidate will also have expertise in traditional Optical Character Recognition (OCR) and computer vision technologies. This role require some engineering experience to work closely with developers to integrate the solution to our existing systems.

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.

Why Binance
• Shape the future with the world’s leading blockchain ecosystem
• Collaborate with world-class talent in a user-centric global organization with a flat structure
• Tackle unique, fast-paced projects with autonomy in an innovative environment
• Thrive in a results-driven workplace with opportunities for career growth and continuous learning
• Competitive salary and company benefits
• Work-from-home arrangement (the arrangement may vary depending on the work nature of the business team)

Binance is committed to being an equal opportunity employer. We believe that having a diverse workforce is fundamental to our success.
By submitting a job application, you confirm that you have read and agree to our Candidate Privacy Notice.

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About The Company

Binance is the world’s leading blockchain ecosystem and cryptocurrency infrastructure provider with a product suite that includes the world's largest digital asset exchange and much more.


Trusted by over 200 millions of users worldwide, the Binance platform is dedicated to increasing the freedom of money for users, and features an unmatched portfolio of crypto products and offerings, including: trading and finance, education, data and research, social good, investment and incubation, decentralization and infrastructure solutions, and more.


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