Experienced Automation and AI/ML Engineerwith a robust background in Quality Engineering, Data Analytics, and Generative AI solutions. Proven expertise in designing scalable automation ecosystems, building AI-powered testing frameworks, and delivering data-driven insights through advanced analytics and dashboarding.
Key Responsibilities
1. Automation Engineering Leadership
- Design, develop, and maintain scalable, enterprise-grade automation frameworks using _Selenium and Playwright_
- Build reusable automation components, libraries, and utilities for cross-project adoption.
- Develop automated test suites covering:
- Functional
- Regression
- API
- End-to-End scenarios
- Lead automation strategy, ensuring maximum coverage and framework standardization.
- Integrate automation into CI/CD pipelines (Jenkins, GitHub Actions, Azure DevOps)
- Perform strong database validation with advanced SQL queries.
- Ensure quality delivery through:
- Test planning & execution.
- Defect management
- Reporting and metrics tracking
- Drive automation initiatives across programs and mentor junior engineers.
2. Generative AI & Agentic AI Engineering
- Design and implement AI-driven testing solutions leveraging LLMs and Generative AI
- Build RAG-based systems, AI copilots, and conversational test frameworks.:
- Develop agentic workflows using _LangChain & LangGraph_ for multi-step reasoning and orchestration.
- Implement:
- AI-driven test case generation
- Intelligent test data creation
- Anomaly detection and defect prediction
- Integrate Hugging Face models and LLM APIs for custom QA use cases.
- Drive innovation in autonomous testing systems and AI-led Quality Engineering
3. AI/ML & Data Engineering for Quality
- Build AI/ML models for defect prediction, test optimization, and quality forecasting.:
- Design validation frameworks for data pipelines (Databricks, Snowflake, Azure)
- Develop analytics dashboards and KPI tracking solutions to improve decision making.
- Perform:
- Data
📌 Senior Ai (Hyderabad)
🏢 State Street
📍 Hyderabad
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