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Tier-1 brand, metro location, mid-level ML role with broad GenAI and cloud requirements.
Strong ML, LLM, production engineering and financial governance requirements reduce industry transferability.
Explicit 5+ years, mandated ML/LLM production experience and engineering standards make filters stringent.
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Own end-to-end delivery of priority AI/ML use cases in International Private Bank (IPB), including design, build, deployment, and monitoring of production services impacting advisors and clients.
Lead engineering build of agentic AI and LLM-powered products serving IPB advisors and clients across international markets with focus on generative AI guardrails and responsible AI controls.
Act as primary technical partner to IPB business stakeholders to identify new AI/ML opportunities and represent AIML team in firm-wide AI/ML governance and engineering forums ensuring cross-border and regulatory compliance.
5+ years of applied AI/ML engineering experience with formal training or certification.
Advanced proficiency in Python and modern software engineering practices including testing, code reviews, version control, and design patterns.
Hands-on experience building, evaluating, and deploying machine learning models into production, including Large Language Models and agentic AI frameworks.
Master's degree in Computer Science, Data Science, Engineering, or related quantitative field, or equivalent applied experience.
Experienced in complex AI/ML product delivery within regulated or financial services environments, especially related to wealth, private banking, or asset management.
Skilled in production-grade AI engineering with deep expertise in agentic AI, generative AI, CI/CD, containerisation, and cloud-native deployment.
Strategic technical leader capable of engaging senior business stakeholders, shaping AI/ML opportunities into funded projects, and contributing to governance and Responsible AI frameworks.