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credit cards · retail banking

Senior AI/ML Engineer - Vice President

Mumbai · HybridPosted 2 months ago
Software engineeringStaff+Full Time
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Strong expertise with 10+ years in microservices , RESTful APIs , and distributed architectures . Experience in the following AI/ML technologies Development: Python, FastAPI, Java, Spring AI , Async Programming Foundational Models: Gemini, OpenAI, Claude, Llama, Local Models Machine Learning: PyTorch, TensorFlow, Fine-tuning AI Frameworks: Google’s ADK, LangChain, LlamaIndex, Hugging Face Orchestration: LangGraph , Multi-Agent Systems Retrieval Augmented Generation: PostgreSQL, Vector DBs, Advanced Retrieval Deployment: Docker, Production APIs, Monitoring Applied Methodology: Prompt Engineering, Workflow Design, GenAI Optimization

Deep experience in data engineering , including pipelines (ETL/ELT), data storage (warehouses, lakes), batch/stream processing, data modeling, governance, and big data technologies. Proven experience in cloud-native architecture and public cloud platforms (AWS, Azure, GCP). Familiarity with React or Angular , TypeScript , and modern front-end frameworks. Strong understanding of SAFe Agile framework and enterprise-scale agile delivery. Knowledge of DevOps, CI/CD, container orchestration, and observability tools. Experience in large-scale financial services enterprise environments . Excellent communication, stakeholder management, and executive reporting skills.

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.

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