9 days ago
Pune, IndiaSenior / Staff+
Responsibilities
- Design and implement AI capabilities, models, assistants, and agents for Finance.
- Develop predictive models for anomaly detection, clustering, classification, variance analysis, and forecasting.
- Build assistants and agents for contextual commentary generation, driver analysis, and other actionable Finance workflows.
- Develop scalable, production-grade AI solutions using multi-agent architectures.
- Design and implement AI Ops, MLOps, and production-grade AI pipelines.
- Work with global AI scientists, engineers, and business stakeholders to deliver AI products.
- Own end-to-end delivery within a collaborative, agile development environment.
- Translate complex business requirements into intelligent solutions.
Requirements
- 5-8 years of experience.
- Mandatory experience in Agentic AI.
- Hands-on experience developing and deploying AI/ML models and agents.
- Strong proficiency in Python for AI and data workflows.
- Proficiency with machine learning, generative AI, and agentic AI.
- Experience with AI Ops, MLOps, and production-grade AI pipeline design.
- Knowledge of OpenAI, LangChain, LangGraph, H2O, scikit-learn, Keras, or TensorFlow.
- Knowledge of SQL, Spark, and Databricks ML is a plus.
- Cloud engineering experience for AI, preferably with Azure AI Foundry and Cognitive Services.
Tech Stack
Categories
About Wipro
Wipro is a global IT services and consulting firm that provides application development, cloud migration, infrastructure management, data/AI, and business process outsourcing for enterprises. It earns revenue through long-term outsourcing, managed services, and project-based consulting across multiple industries. Founded in 1945 and headquartered in Bangalore, India, Wipro is publicly traded (NYSE: WIT; NSE/BSE: WIPRO).