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Tier-1 brand plus metro location and popular ML/data role increases applicant density.
ML/LLM engineering skills are transferable across industries, though financial domain familiarity is beneficial.
Explicit 7-year minimum, 4-year AI requirement, MS degree and cloud/LLM skills make filters stringent.
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Lead development and deployment of AI/ML and LLM-powered solutions for Asset and Wealth Management business.
Design and implement scalable data processing pipelines and production-grade model inference services on AWS or Azure cloud.
Collaborate with global AI teams, business partners, and product teams to align AI capabilities and deliver impactful technology solutions.
MS in Computer Science, Statistics, Mathematics, or Machine Learning.
Minimum 7 years of development experience, including at least 4 years on AI solutions.
Strong Python programming skills; expertise in Data Structures, Algorithms, Machine Learning, Data Mining, and Statistics.
Expert knowledge of cloud platforms (AWS or Azure) and experience with SQL and NoSQL databases.
Experienced in end-to-end AI/ML solution design emphasizing modern architecture, scalability, and security.
Demonstrated leadership in AI/ML innovation and GenAI solution generation within complex environments.
Familiarity with large-scale financial domain applications, especially in Asset and Wealth Management or related sectors.