- Design, develop, test, and deploy machine learning, Generative AI, and AI-driven applications based on business requirements.
- Develop and integrate LLM-based solutions using prompt engineering, RAG, embeddings, vector databases, and AI APIs.
- Build reusable Python-based components, APIs, and services to support AI and machine learning applications.
- Perform data preparation, feature engineering, model training, evaluation, optimization, and performance monitoring.
- Work with cloud-based AI and data services, preferably Microsoft Azure, AWS, or Google Cloud.
- Develop and integrate REST APIs, databases, enterprise applications, and external data sources into AI solutions.
- Implement responsible AI practices including security, data privacy,



model governance, explainability, and monitoring.
- Collaborate with data engineers, software developers, architects, business analysts, and stakeholders to deliver end-to-end AI solutions.
- Troubleshoot model, application, and integration issues and continuously improve solution accuracy, scalability, reliability, and performance.
- Stay current with emerging AI, Generative AI, Agentic AI, machine learning frameworks, and industry best practices and contribute to AI innovation initiatives.

📌 Data & Business Insights Analyst (Chennai)
🏢 NTT DATA Services
📍 Chennai