GEN AI Developer
Citi (company site, opens in a new tab)5–8 yrsBengaluruHybridDirect career pageEst. 28–45 LPA
Posted on 23 Sept
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Job description
Structured overview of role & requirements
About This Role
- Lead end-to-end delivery of AI-powered products, including design, development, testing, deployment, and support within the TTS Analytics team.
- Conduct multiple analyses leveraging diverse data sources (unstructured and structured) and apply GenAI and deep learning techniques to solve business problems related to client experience and operations in financial services.
- Collaborate with cross-functional teams to translate ambiguous problems into analytical solutions, participate in documentation and code reviews, and ensure compliance with regulatory and ethical standards.
Minimum Requirements
- 5 to 8 years relevant experience in Data Science including ML and DL, with at least 2 years in Generative AI solutions.
- Hands-on expertise with LLMs, transformer architectures, prompt engineering, Retrieval-Augmented Generation (RAG), and model customization techniques.
- Proficiency with frameworks like PyTorch/TensorFlow, Hugging Face, plus skills in model serving, optimization, MLOps for GenAI, and handling data from multiple structured/unstructured sources.
- Master's degree preferred in Computer Science or Engineering; experience shipping AI-enabled products in production and working in financial services domain.
Ideal Candidate Profile
- Experienced in applying GenAI and deep learning approaches to strategic business problems, particularly in enhancing client experience and operations within financial services.
- Operates effectively in ambiguous and complex scenarios, capable of ideating and delivering scalable AI-driven analytics solutions that integrate multiple data types and advanced modeling techniques.
- Comfortable collaborating across product, business, operations, and data teams, with strong capability in technical documentation, solution architecture, risk assessment, and regulatory compliance.