We are seeking a highly skilled AI/ML Data Scientist with 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). + 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. Gen AI ------------------------------------------------------ **Job Family Group:** Technology ------------------------------------------------------ **Job Family:** Applications Development ------------------------------------------------------ **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. ------------------------------------------------------ _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._ _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 (https://www.citigroup.com/citi/accessibility/application-accessibility.htm)_ _._ _View Citi’s_ _EEO Policy Statement (https://www.citigroup.com/global/eeo-aa-policy)_ _and the_ _Know Your Rights (https://www.eeoc.gov/sites/default/files/2023-06/22-088\_EEOC\_KnowYourRights6.12ScreenRdr.pdf)_ _poster._ Citi is an equal opportunity and affirmative action employer. Minority/Female/Veteran/Individuals with Disabilities/Sexual Orientation/Gender Identity.