Python Developer - Machine Learning

Role Overview Citi is looking for a skilled Python Developer with a strong background in Machine Learning and Generative AI to join its Applications Development team in Chennai. This is a full-time opportunity for a professional who has hands-on experience building intelligent applications using large language models and modern AI frameworks. The ideal candidate will contribute to cutting-edge AI initiatives within one of the world's leading financial institutions. Key Responsibilities - Design, develop, and fine-tune LLM-based applications using platforms such as Vertex AI, GPT, LLaMA, and Hugging Face - Build and maintain retrieval-augmented generation (RAG) pipelines integrated with vector databases like PG Vector, Neo4j, and MongoDB - Develop reusable prompt engineering strategies and prompt templates for enterprise use cases - Integrate generative AI solutions with enterprise applications via APIs, knowledge graphs, and orchestration tools - Manage MLOps workflows including model evaluation, prompt tuning, and deployment pipelines - Collaborate with cross-functional teams to deliver scalable and production-ready AI solutions Required Qualifications - 5 or more years of total professional experience in software development - Strong Python programming skills with proficiency in libraries such as Transformers, Pandas, scikit-learn, Seaborn, LangChain, LlamaIndex, PyTorch, or TensorFlow - Hands-on experience building applications with OpenAI, Anthropic Claude, Google Gemini, or open-source LLMs - Working knowledge of RAG pipelines and vector database technologies - Solid understanding of MLOps principles, model evaluation methods, and deployment processes Why Join Us Citi offers a dynamic and inclusive work environment where innovation is at the heart of everything. Be part of a globally respected financial brand and work on transformative AI projects that create real-world impact.

- 5+ years of experience in software development - Strong Python programming skills - Experience with Transformers, Pandas, scikit-learn, LangChain, LlamaIndex, PyTorch, or TensorFlow - Hands-on experience with OpenAI, Anthropic Claude, Google Gemini, or open-source LLMs - Knowledge of RAG pipelines and vector databases such as PG Vector, Neo4j, and MongoDB - Understanding of MLOps, model evaluation, and deployment pipelines - Experience with prompt engineering and reusable prompt template creation - Familiarity with Hugging Face, Vertex AI, GPT, and LLaMA platforms

- Equal opportunity employment - Inclusive and diverse work culture - Exposure to cutting-edge AI and ML projects - Global career growth opportunities