Job Summary:

We are seeking a highly skilled AI/ML Data Scientist with 5-8 years of experience to design and implement cutting-edge AI solutions. The ideal candidate will have strong expertise in developing LLM-based chatbots, Retrieval-Augmented Generation (RAG), text-to-SQL applications, and document processing workflows. Familiarity with state-of-the-art models such as GPT-4, Gemini, and open-source LLMs is essential.

Responsibilities:

• Experience Level: 8 - 12 Years
• AI/ML Model Development:
• Design, fine-tune, and deploy LLMs (e.g., GPT-4, Gemini, and open-source models) for chatbot and NLP applications.
• Implement Retrieval-Augmented Generation (RAG) for efficient information retrieval from large datasets.
• Data Processing & Text-to-SQL:
• Build text-to-SQL pipelines to enable natural language queries for structured databases.
• Process structured and unstructured data for applications such as classification, extraction, and summarization.
• Document Processing:
• Automate document workflows, including ingestion, classification, and data extraction, using advanced AI techniques.
• Python Development:
• Write scalable and efficient Python code for data pipelines, ML models, and integration with production systems.
• Model Deployment:
• Deploy and monitor AI/ML models using MLOps best practices.
• Optimize and refine deployed models based on feedback and performance metrics.
• Collaboration:
• Work closely with cross-functional teams, including data engineers and developers, to deliver business-aligned AI solutions.

Qualifications:

• Strong proficiency in Python and ML libraries (e.g., TensorFlow, PyTorch, scikit-learn).
• 5-8 years of hands-on experience in AI/ML, NLP, RAG, chatbot development, and LLM applications.
• Expertise in working with LLMs and write Prompts to build LLM based applications (e.g., GPT-4, Gemini, Mixtral etc).
• Hands-on experience with Retrieval-Augmented Generation (RAG) and vector databases.
• Advanced skills in NLP techniques, text-to-SQL solutions, and document processing workflows.
• Familiarity with cloud platforms (AWS, GCP, Azure) and containerization tools (Openshift, Kubernetes).
• Knowledge of MLOps frameworks for model deployment and lifecycle management.

Education:

• Bachelor’s degree/University degree or equivalent experience

• Bachelor’s or Master’s in Computer Science, Data Science, AI, or a related field.

This job description provides a high-level review of the types of work performed. Other job-related duties may be assigned as required.

------------------------------------------------------

Job Family Group:

------------------------------------------------------

Job Family:

------------------------------------------------------

Time Type:

------------------------------------------------------

Citi is an equal opportunity and affirmative action employer.

Qualified applicants will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.

Citigroup Inc. and its subsidiaries ("Citi”) invite all qualified interested applicants to apply for career opportunities. If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity review Accessibility at Citi.

View the "EEO is the Law" poster. View the EEO is the Law Supplement.

View the EEO Policy Statement.

View the Pay Transparency Posting