Python Developer

The Python Developer is an intermediate level position responsible for participation in the establishment and implementation of new or revised application systems and programs in coordination with the Technology team. The overall objective of this role is to contribute to applications systems analysis and programming activities., 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.

Bachelor's degree/University degree or equivalent experience. Master's preferred in Computer Science, Data Science, AI, or a related field., * 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, Google Cloud Platform, Azure) and containerization tools (Openshift, Kubernetes).
• Knowledge of MLOps frameworks for model deployment and lifecycle management.

Citi, the leading global bank, has approximately 200 million customer accounts and does business in more than 160 countries and jurisdictions. Citi provides consumers, corporations, governments, and institutions with a broad range of financial products and services, including consumer banking and credit, corporate and investment banking, securities brokerage, transaction services, and wealth management. As a bank with a brain and a soul, Citi creates economic value that is systemically responsible and in our clients' best interests. As a financial institution that touches every region of the world and every sector that shapes your daily life, our Enterprise Operations & Technology teams are charged with a mission that rivals any large tech company. Our technology solutions are the foundations of everything we do from keeping the bank safe, managing global resources, and providing the technical tools our workers need to be successful to designing our digital architecture and ensuring our platforms provide a first-class customer experience. We reimagine client and partner experiences to deliver excellence through secure, reliable, and efficient services. Our commitment to diversity includes a workforce that represents the clients we serve from all walks of life, backgrounds, and origins. We foster an environment where the best people want to work. We value and demand respect for others, promote individuals based on merit, and ensure opportunities for personal development are widely available to all. Ideal candidates are innovators with well-rounded backgrounds who bring their authentic selves to work and complement our culture of delivering results with pride. If you are a problem solver who seeks passion in your work, come join us. We'll enable growth and progress together.