Smart Assistant is a suite of GenAI applications for document & data inquiry, leveraging cutting-edge AI to revolutionize how Finance interact with their data. We are seeking a highly skilled and motivated Senior Data Scientist specializing in Generative AI to join our team in Tampa, Florida, and play a key role in the continued development of our Finance Smart Assistant.
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.
- Communicate technical concepts and findings clearly and effectively to both technical and non-technical audiences.
Qualifications:
- Bachelor's in Computer Sciences or related field
- Master's degree or PhD in Data Science, Computer Science, or a related field is preferred
- Proven experience in developing and deploying Generative AI solutions in real-world settings.
- Deep understanding of:
- Retrieval Augmented Generation (RAG)
- Large Language Models (LLMs) and their applications
- Transformer models (e.g., BERT, GPT)
- Agentic AI understanding
- Prompt engineering and fine-tuning techniques
- Vector databases and similarity search
- LangChain, LlamaIndex or similar frameworks for building GenAI applications
- Model evaluation metrics for GenAI
- MLOps principles and practices for deploying and managing AI models
- Strong programming skills in Python, including experience with relevant libraries and frameworks (e.g., TensorFlow, PyTorch, scikit-learn, Pandas, NumPy).
- Excellent communication, collaboration, and problem-solving skills.
- Hands-on experience with end-to-end AI project development and deployment.
- Preferred Qualifications:
- Formal coursework or certifications in Data Science.
- Experience in the financial services industry.
- Familiarity with cloud computing platforms (e.g., AWS, Azure, GCP).
- Contributions to open-source AI projects.
What to expect:
- Opportunity to work on cutting-edge AI projects.
- Collaborative and innovative work environment.
Job Family Group:
Technology
Job Family:
Applications Development
Time Type:
Full time
Primary Location:
Tampa Florida United States
Primary Location Full Time Salary Range:
$96,960.00 - $145,440.00
In addition to salary, Citi’s offerings may also include, for eligible employees, discretionary and formulaic incentive and retention awards. Citi offers competitive employee benefits, including: medical, dental & vision coverage; 401(k); life, accident, and disability insurance; and wellness programs. Citi also offers paid time off packages, including planned time off (vacation), unplanned time off (sick leave), and paid holidays. For additional information regarding Citi employee benefits, please visit citibenefits.com. Available offerings may vary by jurisdiction, job level, and date of hire.
Most Relevant Skills
Please see the requirements listed above.
Other Relevant Skills
For complementary skills, please see above and/or contact the recruiter.
Anticipated Posting Close Date:
Sep 16, 2025
Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law.
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