Data Scientist - AI Agent Development

Binance; Singapore; On-site; SGD 80,000 - 110,000; Full time

Job summary

A leading company in the blockchain ecosystem is seeking a Data Scientist specializing in AI Agent Development. This role involves leveraging Large Language Models (LLMs) and traditional OCR technologies to build scalable AI solutions. The ideal candidate will collaborate with cross-functional teams to enhance operational workflows, and will have a strong background in machine learning and data science.

Benefits

Career growth and continuous learning opportunities

Competitive salary and comprehensive benefits

Flexible remote work arrangements

Qualifications

• Expertise in fine-tuning LLMs like GPT and BERT.
• Proficient in deploying ML models on AWS, Azure, or GCP.
• Strong programming skills in Python.

Responsibilities

• Design and deploy Large Language Models for AI applications.
• Implement and optimize OCR systems for document digitization.
• Collaborate with teams to deliver tailored AI solutions.

Skills

LLM fine-tuning

Python

Machine Learning

Problem-solving

Education

Master’s or Ph.D. in Computer Science or Data Science

Tools

PaddleOCR

PyTorch

TensorFlow

Scikit-learn

Job description

Job Description: Data Scientist - AI Agent Development

• Employment Type: Full-time

About Binance:

Binance is the leading global blockchain ecosystem behind the world’s largest cryptocurrency exchange by trading volume and users. Trusted by over 250 million users across 100+ countries, Binance offers a wide portfolio of digital asset products spanning trading, finance, education, research, payments, institutional services, and Web3 innovations. Our mission is to leverage blockchain to build an inclusive financial ecosystem advancing financial freedom globally.

Role Overview:

We are seeking a highly skilled and motivated Data Scientist to join our AI Agent Development team. The role focuses on developing domain-specific AI agents powered by Large Language Models (LLMs) and integrating advanced OCR and computer vision technologies into our operational workflows. This position requires a mix of deep data science expertise and engineering collaboration to deploy scalable AI solutions.

Key Responsibilities:

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

Requirements:

• Master’s or Ph.D. in Computer Science, Data Science, Machine Learning, or related fields.
• Strong experience in LLM fine-tuning (e.g., GPT, BERT) with familiarity in frameworks like Hugging Face or OpenAI APIs.
• Proficient in traditional OCR methods using tools such as PaddleOCR or equivalent.
• Excellent programming skills in Python and familiarity with ML libraries including PyTorch, TensorFlow, and Scikit-learn.
• Experience deploying ML models on cloud platforms like AWS, Azure, or GCP.
• Strong problem-solving abilities and capability to work both independently and collaboratively.

Why Binance?

• Shape the future with the world’s leading blockchain ecosystem.
• Collaborate with world-class talent in a user-centric, flat organization.
• Work on unique, fast-paced projects with autonomy and innovation.
• Access career growth and continuous learning opportunities.
• Competitive salary and comprehensive company benefits.
• Flexible remote work arrangements (dependent on business needs).

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