Overview

Experience 10-12 years of professional experience in machine learning and software engineering, with a track record of shipping production-grade services.

Qualifications

• 10-12 years of professional experience in machine learning and software engineering, with a track record of shipping production-grade services.
• Hands-on expertise in modern AI architectures (LLMs, GNNs, Deep Learning) as well as classical modeling (Gradient Boosting, Regression).
• The AI Stack
• Deep proficiency with the Generative AI ecosystem, specifically LangGraph, LangSmith, Google ADK, Google Vertex AI and AWS bedrock.
• Domain Expertise
• Specialized knowledge in at least one area: NLP, Information Retrieval, Computer Vision, or Advanced Statistical Modeling.
• Engineering Rigor
• Ability to write clean, maintainable, and highly-tested code (Python) that directly solves customer pain points.
• Communication
• Exceptional written and verbal communication skills; ability to translate complex technical concepts for non-technical stakeholders.
• Mission-Driven A genuine passion for building an open, global financial system.

Education

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