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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.




- 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.

Skills and Experience:
- 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 do

📌 Assistant Vice President Data Science and Gen Ai (Haryana)
🏢 Citi
📍 Haryana