Lead Generative AI Engineer specializing in generative AI model development and AI transformation for KPMG clients. Drive innovation and address complex business challenges with AI initiatives.
About the role
- Architect and train custom foundation LLMs optimized for trading, compliance, and Web3 data.
- Build next-gen multi-agent systems that blend search, RL, and LLM reasoning for real-world tasks.
- Collaborate on Web3 data-lake design—ETL pipelines, vector stores, real-time feeds.
- Partner with product, compliance, and customer-support teams to deploy models in production.
- Surface new AI-Web3 use cases, prototype MVPs, and shepherd them toward scale.
- Ingest and reason over massive on-chain and off-chain datasets to power real-time insights.
- Design intelligent trading agents, signal generators, and strategy-optimization engines.
- Automate compliance, travel-rule enforcement, and on-chain forensics at scale.
- Develop customer-service agents and personalized navigation experiences for AI-Web3 applications.
Requirements
- Academic Excellence: Master’s or PhD in ML, AI, Computer Science, Mathematics, or related field.
- Research Prodigy: Published in top conferences/journals (ICLR, NeurIPS, ACL, etc.) on foundational LLMs, agent frameworks, or reasoning architectures.
- Reinforcement & Reasoning: Deep expertise in reinforcement learning, reasoning algorithms, or related paradigms—bonus if you’ve built or extended agentic frameworks.
- Polyglot Coder: Fluent in Python; experience with PyTorch, TensorFlow, JAX, or similar. You can prototype new model architectures end-to-end.
- Crypto & Web3 Curious: Enthusiasm for finance engineering, blockchain protocols, on-chain data, DeFi mechanics, or regulatory landscapes.
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