Applied Data Scientist (AI/Web3)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
TL;DR
Applied Data Scientist (AI/Web3): Designing and implementing production-grade LLM pipelines and AI agents for crypto-native intelligence with an accent on multi-agent systems and on-chain data reasoning. Focus on optimizing agent reasoning quality, reducing inference latency, and building evaluation frameworks for financial workflows.
Location: Remote (Asia)
Company
is a leading global blockchain ecosystem and the world’s largest cryptocurrency exchange by trading volume and registered users.
What you will do
- Design and implement production-grade LLM pipelines for AI products and agentic trading features, including multi-step reasoning agents.
- Optimize AI agent capabilities in reasoning and tool selection for intelligence, latency, and reliability under high-frequency trading constraints.
- Build and maintain evaluation frameworks for reasoning model outputs, covering market analysis accuracy and hallucination detection.
- Apply test-time scaling techniques like chain-of-thought and process reward models to improve agent quality.
- Architect AI system components leveraging serving frameworks such as vLLM and TensorRT-LLM for a 24/7 trading environment.
- Integrate on-chain data sources and wallet intelligence into LLM-powered analytical pipelines.
Requirements
- Bachelor's or Master's degree in Computer Science, Electrical Engineering, Statistics, Mathematics, or a related technical field.
- 0–5 years of industry or research experience in applied ML or AI engineering.
- Strong Python programming skills and proficiency with AI-assisted development tools.
- Hands-on experience with LLMs, including prompt engineering, post-training, or end-to-end application development.
- Familiarity with multi-agent system design (task decomposition, tool use via MCP, memory management).
- Must be based in Asia.
Culture & Benefits
- Opportunity to shape the future within the world’s leading blockchain ecosystem.
- Collaborative environment in a user-centric global organization with a flat structure.
- High level of autonomy in an innovative and results-driven workplace.
- Competitive salary and comprehensive company benefits.
- Flexible work-from-home arrangements.
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