AI/LLM Data Scientist — Accelerator Program (6M, Remote)
Binance
Singapore
Hybrid
SGD 39,000 - 58,000
Full time
14 days+
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Benefits offered by this job
Competitive salary
Company benefits
Work-from-home arrangement
Job summary
A leading blockchain ecosystem in Singapore seeks an AI/LLM Data Scientist for its Accelerator Programme. This 6-month program offers an immersive experience in AI development, with responsibilities including contributing to AI agent design, maintaining datasets, and collaborating with senior engineers. Candidates should be pursuing a degree in AI or Computer Science and have a strong foundation in Python programming. Benefits include competitive salary, potential for work-from-home, and opportunities for career growth.
Qualifications
Current students or recent graduates who can work full-time for a period of 6 months.
Experience with LLM application development is a plus.
Hands-on experience with AI frameworks is a strong plus.
Responsibilities
Contribute to the design and development of AI agents integrated into live systems.
Help build and maintain benchmark datasets to evaluate AI performance.
Design, prototype, and iterate AI agent workflows using frameworks.
Collaborate closely with senior engineers on system design and deployment.
Skills
Programming in Python
LLM frameworks (e.g., LangChain, LangGraph)
Prompt engineering
Interest in AI and data-driven systems
Good communication skills
Education
Pursuing a degree in Artificial Intelligence or Computer Science
Job description
A leading blockchain ecosystem in Singapore seeks an AI/LLM Data Scientist for its Accelerator Programme. This 6-month program offers an immersive experience in AI development, with responsibilities including contributing to AI agent design, maintaining datasets, and collaborating with senior engineers. Candidates should be pursuing a degree in AI or Computer Science and have a strong foundation in Python programming. Benefits include competitive salary, potential for work-from-home, and opportunities for career growth.