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Tier-1 brand, mid-level experience band, metro locations, and high-demand GenAI skills create high competition.
Specialized GenAI, LLM, and finance-focused analytics experience required, making background fit highly sensitive.
Explicit 5–8 years plus many mandatory GenAI, ML, and MLOps requirements make shortlisting highly strict.
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Lead end-to-end delivery of production-grade AI applications using Generative AI and deep learning techniques, including data ingestion, model services, deployment, and support.
Conduct multiple analyses leveraging diverse data sources (unstructured and structured) to generate data-driven insights improving client experience and driving business growth in Treasury & Trade Services.
Develop and implement quality and safety measures for LLMs including evaluation harnesses, hallucination reduction, bias assessment, and collaborate cross-functionally to prioritize and deliver AI capabilities.
5-8 years of relevant experience in Data Science with strong expertise in Generative AI solutions and ML/DL technologies.
Hands-on experience with LLMs, transformer architectures, prompt engineering, RAG, fine-tuning, and MLOps for GenAI.
Master's degree in Computer Science Engineering preferred.
Experience shipping AI-enabled products to production in an agile environment, preferably in financial services client experience or operations.
Proven ability to translate ambiguous, open-ended business problems into analytical and AI-driven solutions within a complex financial domain.
Experienced in full lifecycle AI product development including design, deployment, testing, and post-launch iteration with safety and compliance focus.
Comfortable collaborating with product, security, and data teams to deliver scalable, secure, and maintainable AI-powered products.