[Skip to main content](#main-content) [OpenNash Jobs](https://jobs.opennash.com/) [Hiring report](/reports/hiring/) · [All Tata Consultancy Services jobs](https://jobs.opennash.com/companies/tata-consultancy-services/) · [Search jobs](/search/) Tata Consultancy Services · Mumbai # TCS Hiring Mumbai IT & Infrastructure Last seen on Tata Consultancy Services’s official careers site on August 1, 2026; it may have closed since. [Apply on Tata Consultancy Services’s careers site →](https://ibegin.tcsapps.com/candidate/next/en-IN/jobs/406235J) [OpenNash Jobs](https://jobs.opennash.com/) / [Tata Consultancy Services](https://jobs.opennash.com/companies/tata-consultancy-services/) / TCS Hiring ## Job description ### Role Python AI Engineer, Developer We're looking for a talented AI Engineer proficient in Python with proven industry experience in building and shipping production-grade AI/ML applications. You will help build and maintain Gen-AI based automation and optimization in our next-generation workflow and business process management platform for Citi's Wealth Operations division. You'll be joining a small, high-impact team challenging, changing, and modernizing the workflows and processes that support our global Wealth business. ### What you will bring Strong server-side Engineering Python, REST APIs, asynchronous and functional programming. Experience with Python libraries for AI/ML, NLP & API: Scikit-learn, Pandas, NumPy, NLTK, Pydantic, FastAPI Proficiency in AI Evaluation: regression, classification, information retrieval, power analysis and correlation and statistical testing, and others. ### Strong understanding of AI/ML fundamentals Deep Learning, LLMs, Gen-AI and implications. ### Proficiency with relational and/or NoSQL databases PostgreSQL/Oracle, MongoDB. ### Experience with message systems Apache Kafka, Solace. Deep understanding of containerization (Docker) and orchestration (Kubernetes/OpenShift). Familiarity with CI/CD tools (e.g., Jenkins, Tekton, ArgoCD, Harness). Comfortable mentoring software engineers in working with an experiment-driven development workflow. Experience in building financial operations workflow platform/automation will be an added advantage. Tools and technologies you might use Python, FastAPI, Pydantic, Pandas, Scikit-learn, NLTK, PostgreSQL, MongoDB, Apache Kafka, Docker, Kubernetes, OpenShift, Helm, Tekton, Harness. Access to time-saving AI tools such as GitHub Copilot and Google Gemini.