Data Analyst (Ai)

Role Design and build AI-powered test automation solutions, including prompt-driven and LLM-assisted validation workflows. Develop and enhance automation frameworks across UI, API, and distributed systems, with a focus on scalability and reusability. Build self-healing and adaptive test solutions using AI techniques (e.G., dynamic locators, test generation, anomaly detection). Experiment with and integrate agentic frameworks (LangChain, Semantic Kernel, AutoGPT, etc.) for autonomous test execution and orchestration. Contribute to test generation using LLMs—converting requirements, user stories, or logs into executable test cases. Integrate AI-driven testing into CI/CD pipelines to enable continuous, intelligent quality validation. Collaborate closely with developers, DevOps, and AI/ML engineers to embed testing early in the development lifecycle. Analyze failures using logs, telemetry, and AI-assisted debugging techniques to accelerate root cause identification. Experience & Skills 6+ ...

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