Back
Strong Tier-1 brand, mid-level experience band, metro location, and popular ML/GenAI role increase competition.
Specialized ML/GenAI and production governance skills are transferable, but financial domain and regulatory constraints increase sensitivity.
Explicit 5+ years, mandated ML/GenAI, production and governance requirements make filters highly strict.
Login to See Your Match Score
Create a free account or log in to unlock your CV match score across:
Own end-to-end design, build, and production delivery of priority AI/ML use cases in International Private Bank, focusing on agentic AI and generative AI guardrails.
Lead engineering of agentic AI and LLM-powered products for advisors and clients across international markets with measurable business impact.
Establish Responsible AI controls aligning with firm standards and act as a key technical partner to business stakeholders, representing AIML team in governance forums.
5+ years applied experience with formal AI/ML engineering training or certification.
Advanced proficiency in Python and modern software engineering practices including testing, code review, and version control.
Hands-on experience building, evaluating, and deploying machine learning models into production including Large Language Models and agentic frameworks.
Master's degree in Computer Science, Data Science, Engineering, or related quantitative field (or equivalent applied experience).
Experienced in delivering scalable, production-grade AI/ML systems with demonstrable advisor/client impact, especially involving generative AI and agentic AI applications.
Skilled in navigating complex technology problems, engineering governance, and cross-border regulatory and data privacy considerations within financial services or similarly regulated domains.
Effective in collaborating with senior business stakeholders and mentoring junior engineers, contributing to AI education and knowledge-sharing initiatives.