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Tier-1 bank, mid-level ML lead title, and metro location drive high applicant competition.
Specialized ML/LLM production and financial governance requirements reduce cross-industry transferability.
Explicit 5+ years, required ML/LLM production experience and cloud/CI-CD expectations make filters strict.
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Own end-to-end delivery of priority AI/ML use cases for International Private Bank, from problem framing to production deployment with measurable advisor and client impact.
Lead engineering build and operational management of agentic AI and LLM-powered products across international markets, including generative AI guardrails and responsible AI controls.
Serve as primary technical partner to business stakeholders, identifying AI/ML opportunities and ensuring solutions meet regulatory, data privacy, and firm-wide governance standards.
5+ years of applied AI/ML engineering experience with formal training or certification.
Advanced proficiency in Python and modern software engineering practices (testing, design patterns, code review, version control).
Practical expertise with Large Language Models including prompt engineering, fine-tuning, and agentic frameworks, plus CI/CD, containerization, and cloud-native deployment.
Master's degree in Computer Science, Data Science, Engineering, or related quantitative field (or equivalent applied experience).
Experienced senior AI engineer comfortable owning complex AI/ML production systems end-to-end within a regulated financial environment.
Skilled in translating business problems into scalable AI/ML solutions, collaborating with senior business stakeholders internationally.
Hands-on with advanced AI tooling (e.g., Claude Code, GitHub Copilot) and responsible AI governance incorporating model risk controls and observability.