Machine learning and GEN AI Data Scientist
Citi (company site, opens in a new tab)3–4 yrsGurugramOn-siteDirect career pageEst. 18–30 LPA
Posted 9h ago
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Job description
Structured overview of role & requirements
About This Role
- Own end-to-end delivery of complex analytic projects involving generative AI and deep learning models for North America Consumer Bank business problems.
- Design, fine-tune, validate and deploy large language models and other AI/ML solutions including prompt engineering and RAG architectures.
- Collaborate with cross-functional teams ensuring model governance, compliance, and driving economic value across customer acquisition, retention, product development, and pricing domains.
Minimum Requirements
- Bachelor’s degree (or higher) in Economics, Statistics, Mathematics, IT, Computer Applications, Engineering or related field from a premier institute.
- 2-4 years’ experience with deep learning and generative AI applications including hands-on PySpark/Python and SQL programming.
- Experience working with large datasets and tools/frameworks such as TensorFlow, PyTorch, Hugging Face Transformers, LangChain, LlamaIndex.
- Work Experience Required: Minimum 2 years with a Master’s degree or 3 years with a Bachelor’s in data analytics; PhD holders with relevant experience also considered.
Ideal Candidate Profile
- Demonstrates expertise in generative AI and large language models with practical knowledge of prompt engineering and RAG architectures.
- Experience in financial services domain, especially credit cards and retail banking preferred for domain context.
- Proven ability to manage multiple stakeholders and deliver innovative AI modeling solutions compliant with regulatory standards.