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Tier-1 brand, mid-level metro role with broad GenAI remit increases candidate competition.
Banking client-experience focus and regulatory constraints make domain experience moderately important.
Explicit 5-8 years plus specialized GenAI, MLOps, LLM and compliance requirements enforce strict filtering.
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Own end-to-end delivery of AI-powered products including design, implementation, testing, deployment, and support in the Treasury & Trade Services Analytics team.
Analyze and provide insights from multiple structured and unstructured data sources to solve business problems focused on client experience, acquisitions, and revenue growth.
Apply Generative AI and deep learning techniques (prompt engineering, RAG, fine-tuning) to develop scalable production-grade AI applications and collaborate with cross-functional teams to translate ambiguous problems into solutions.
5-8 years of relevant experience in Data Science with at least 2 years focused on Generative AI solutions.
Hands-on experience with LLMs, transformer architectures, prompt engineering, RAG, fine-tuning methods, and MLOps for GenAI.
Experience shipping AI-enabled products to production in an agile environment and working with both structured and unstructured data sources.
Preferred Masters degree in Computer Science Engineering. No explicit notice period mentioned.
Experienced in financial services domain focusing on client experience and operations to resolve business problems using AI and analytics.
Skilled at working independently with some latitude to solve complex problems and strong in coding, technical documentation, and system design.
Comfortable working in ambiguous environments requiring cross-functional collaboration and prioritization of business-driven AI solution delivery.