Back
Tier-1 brand, metro location, popular ML/LLM role, and broad skillset requirements increase applicant competition.
Core ML/LLM and cloud engineering skills transfer across industries, though finance experience is preferred.
Explicit 7-year minimum, specific ML/LLM, cloud and degree requirements make filters stringent.
Login to See Your Match Score
Create a free account or log in to unlock your CV match score across:
Lead development and deployment of high-impact AI and ML business solutions, including LLM-powered models, in Asset and Wealth Management.
Design and implement scalable, reliable data processing pipelines and model inference services on AWS or Azure cloud platforms.
Collaborate across global AI teams, business, and product partners to align and accelerate adoption of common AI capabilities and deliver impactful solutions.
MS degree in Computer Science, Statistics, Mathematics, or Machine Learning.
Minimum 7 years of development experience, with at least 4 years specifically on AI solutions.
Strong programming skills in Python and expertise in data structures, algorithms, machine learning, and statistics.
Expertise with cloud computing platforms such as AWS or Azure, container orchestration like Kubernetes, and experience deploying AI solutions to production.
Experienced in end-to-end AI/ML solution design with focus on modern architecture, scalability, and security.
Proven leader generating new AI/ML and Generative AI ideas, with ability to engage senior technical and business stakeholders.
Familiarity with financial domains like Asset and Wealth Management is advantageous, along with knowledge of LLM workflows and cloud infrastructure.