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Job Overview : Responsibilities :

- RAG Frameworks - Able to customize and fine-tune existing RAG frameworks or design new RAG to meet project requirements.
- Design and Develop POC / full scale solutions on various automations in Operations area including Conversational AI, Muti Agent Systems for multiple services.
- Responsible for development and deployment of Machine Learning / Deep Learning based models
- Collaborate with cross-functional team to understand business requirements and translate them into AI solutions.
- Conduct research to advance the state-of-the art in generative modeling and stay up to date with latest advancements in the field.
- Optimize and fine-tune models for performance, scalability, and robustness.
- Implement and maintain AI pipelines and infrastructure to support model training and deployment.
- Perform data analysis and preprocessing to ensure high-quality input for model training.
- Implement and maintain AI pipelines and infrastructure to support model training and deployment. - Perform data analysis and preprocessing to ensure high-quality input for model training.
- Mentor junior team members and provide technical guidance.
- Write and maintain comprehensive documentation for models and algorithms.
- Solid understanding of Model Risk Management (MRM)



and Fair Lending (FL) guidelines for LLM based solutions
- Present findings and project progress to stakeholders and management.

Recommended Qualifications :

- Bachelor’s or Master’s degree in computer science, Data Science, Machine Learning, or a related field. A Ph.D. is a plus.
- 8+ years of experience in machine learning and deep learning, with a focus on generative AI solution design and development.
- Strong proficiency in Python and deep learning frameworks such as TensorFlow, PyTorch, or Keras.
- Strong background of Prompt Engineering, building agentic AI / AI Agents, API / MCPs for large scale automations in banking domain
- Experience with natural language processing (NLP) and natural language generation (NLG).
- Proven track record of building and deploying generative models based solutions in production environments particularly using RAG frameworks.
- Solid understanding of machine learning algorithms, data structures, and software engineering principles.
- Excellent problem-solving skills and the ability to work independently and as part of a team.
- Strong communication skills, with the ability to explain complex technical concepts to non-technical stakeholders. Job Family Group :Decision Management
- Job Family : Specialized Analytics (Data Science/Computational Statistics)
- Time Type : Full time
- Most Relevant Skills :Please see the requirements listed above.
- Other Relevant Skills :For complementary skills, please see above and/or contact the recruiter.

📌 Assistant Vice President - Data Science and Fraud Analytics (Bengaluru)
🏢 Citi
📍 Bengaluru