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Tier-1 brand, metro location, mid-level ML role, and broad skillset requirements increase competition significantly.
Core ML engineering skills transfer easily across industries despite optional finance exposure.
Explicit 3+ years, mandatory ML engineering skills, production deployment experience and preferred certifications raise strictness.
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Design, develop, and deliver components for agentic AI and machine learning products supporting IPB advisors and clients internationally.
Write secure, high-quality production code and maintain algorithms aligned with firm-wide Responsible AI standards including model evaluation and guardrail testing.
Participate in agile processes including code reviews and technical design discussions, turning defined problems into production-quality solutions under senior guidance.
3+ years applied experience in AI/ML engineering with formal training or certification in the field.
Proficiency in Python and practical knowledge of software engineering best practices (testing, version control, code review).
BSc in Computer Science, Data Science, Engineering, or a related quantitative field.
Understanding of modern deployment concepts such as CI/CD, containerisation, or cloud-native environments.
Has hands-on experience or practical exposure with machine learning and/or Large Language Models including prompt engineering and agentic frameworks.
Familiar with AI coding tools integrated into development workflows (e.g., Claude Code, GitHub Copilot).
Comfortable working in agile teams under direction of senior engineers, contributing code and participating in design discussions within a regulated financial services environment.