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Tier-1 brand, mid-level role in Gurgaon with broad GenAI skillset increases candidate competition.
GenAI technical skills are transferable, but finance domain experience preference increases fit sensitivity.
Explicit 5–8 years, 2 years GenAI, and technical stack requirements make shortlisting strict.
Lead end-to-end delivery of AI-powered products including design, implementation, testing, deployment, and support focused on client experience business problems within Treasury & Trade Services.
Apply and develop Generative AI (GenAI) and deep learning solutions for practical user and business challenges, including prompt engineering, RAG, and fine-tuning models.
Collaborate across product, business, operations, and data teams to translate ambiguous problems into analytical frameworks and business insights using multiple data sources (structured and unstructured).
5-8 years of experience in Data Science with a focus on ML, DL, and at least 2 years of solid GenAI solution experience.
Must have substantial experience working on client experience and operations business problems, preferably in financial services, with data from multiple structured and unstructured sources.
Hands-on expertise with LLMs, transformer architectures, prompt engineering, RAG methods, model customization (fine-tuning, LoRA, PEFT), and frameworks such as PyTorch/TensorFlow and Hugging Face.
Master's degree preferred in Computer Science Engineering; work experience required as stated; notice period not explicitly mentioned.
Experienced in shipping AI-enabled products in an agile environment with a track record of handling strategic business priorities involving advanced analytics.
Comfortable working with complex data sets integrating multiple modalities (emails, transcripts, client transactions) and applying cutting-edge GenAI techniques including MLOps for production readiness.
Able to lead technical collaboration across cross-functional teams with strong risk awareness and compliance mindset relevant to financial industry standards.