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Tier-1 brand, metro location, popular ML/AI role, and mid-level experience amplify competition.
Core ML/AI skills transfer across industries, though banking/credit domain experience improves fit.
Explicit 1–3 years, specific LLM/deep learning stack, and model governance in regulated banking increases strictness.
Own and deliver multiple complex analytic projects using large datasets and advanced deep learning/generative AI techniques including model training, fine-tuning, validation, deployment, and governance.
Design, implement, and optimize Large Language Models (LLMs) / Generative AI applications applying techniques like prompt engineering and Retrieval Augmented Generation (RAG) for varied business problems in marketing, risk, digital, and AML domains.
Collaborate with business teams and model governance functions to ensure compliance, risk management, and alignment of AI modeling solutions with Citi standards and economic value creation.
1-3 years of hands-on experience in AI, machine learning, or data science roles with practical exposure to deep learning and generative AI applications.
Proficiency in PySpark, Python, R programming and strong SQL skills; experience with frameworks like TensorFlow, PyTorch, Hugging Face Transformers, LangChain, or similar.
Bachelor’s or master’s degree in Economics, Statistics, Mathematics, Information Technology, Computer Applications, Engineering, or related field from a recognized institute.
Experience working with large datasets, data warehouses, and applied statistical analysis; familiarity with LLMs, prompt engineering, vector databases, and model fine-tuning techniques.
Experienced in applying cutting-edge generative AI models and deep learning techniques (including transformers and RAG architectures) to solve real-world business problems in financial services, preferably credit cards and retail banking.
Able to manage multiple stakeholders and projects independently with strong communication skills and an analytical, control-oriented mindset.
Demonstrates domain expertise in new customer acquisition, retention, product development, and digital journeys along with a solid understanding of model governance and compliance processes.