Citi is seeking a Senior Data Scientist to develop cutting-edge Generative AI solutions for the Finance Smart Assistant, leveraging AI to revolutionize how Finance interacts with their data.
Requirements
- Proven experience in developing and deploying Generative AI solutions in real-world settings.
- Deep understanding of Retrieval Augmented Generation (RAG)
- Deep understanding of Large Language Models (LLMs) and their applications
- Deep understanding of Transformer models (e.g., BERT, GPT)
- Strong programming skills in Python, including experience with relevant libraries and frameworks (e.g., TensorFlow, PyTorch, scikit-learn, Pandas, NumPy).
- Experience with LangChain, LlamaIndex or similar frameworks for building GenAI applications
- MLOps principles and practices for deploying and managing AI models
Responsibilities
- Design, develop, and implement cutting-edge Generative AI solutions for the Finance Smart Assistant, building upon existing foundations.
- Lead the integration of Retrieval Augmented Generation (RAG) techniques to enhance the accuracy and context-awareness of our AI systems.
- Develop and refine Large Language Model (LLM) based solutions, leveraging expertise in prompt engineering and fine-tuning.
- Utilize table transformers and other advanced Python packages for extracting and processing complex financial data.
- Work end-to-end on GenAI solutions, from data preprocessing and model development to deployment and monitoring.
- Collaborate with cross-functional teams to ensure seamless integration of AI solutions into existing workflows.
- Stay up-to-date with the latest advancements in GenAI and contribute to our ongoing AI innovation efforts.
Other
- Bachelor's in Computer Sciences or related field
- Master's degree or PhD in Data Science, Computer Science, or a related field is preferred
- Excellent communication, collaboration, and problem-solving skills.
- Hands-on experience with end-to-end AI project development and deployment.
- Formal coursework or certifications in Data Science.
