TCS Hiring

TCS · Mumbai

Source and collection record

Last observed by our collector: 9 October 2026 at 1:11 am IST. This is not a manual review or a confirmation from the employer.

Employer requisition: 406235

Job type and experience labels are automated discovery categories. The employer determines eligibility. Original experience wording was not retained separately; check the current employer page.

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Collected minimum qualification: BACHELOR OF ENGINEERINGAttendance and availability: I checked the employer page for work location, office attendance, start date and duration.Current requisition: I checked the current employer requisition and its application requirements.

0 of 3 checks marked. Keep unresolved requirements as questions for the employer.

Collected role 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. </span

Collected minimum qualification

BACHELOR OF ENGINEERING

Collected experience requirement

4 - 10 Years