Padmi

Software Development Engineer in Test III (AI/ML)

Delhi NCRPosted 2 months ago
Software QualitySeniorFull Time
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GreyOrange is looking for an AI/ML-focused SDET III to build and scale intelligent quality engineering systems for next-generation warehouse automation products. This role goes beyond traditional automation testing and focuses on validating AI/ML-driven workflows, Agentic AI systems, autonomous decision-making pipelines, and automation utilities. The ideal candidate should have strong expertise in test automation, AI/ML systems, backend validation, and building utilities/frameworks that reduce manual effort and improve engineering efficiency. Key Responsibilities Design, develop, and maintain scalable automation frameworks and intelligent testing utilities. Validate AI/ML workflows, Agentic systems, APIs, and data pipelines. Create automation utilities to reduce manual QA efforts and improve operational efficiency. Work closely with Product, Engineering, and AI/ML teams during design and development phases. Perform API, backend, database, and system-level testing. Debug complex issues and act as the first level of troubleshooting for development teams. Participate in Agile development cycles and contribute to continuous quality improvements. Drive innovation in automation, validation, and intelligent testing practices. Required Skills & Experience 5–8 years of experience in SDET / QA Automation roles. Strong programming and scripting skills in Python. Experience working with AI/ML-based systems or intelligent automation platforms. Exposure to Agentic AI workflows, LLM-based systems, or autonomous agents. Experience creating utilities/tools to automate manual workflows. Strong understanding of API testing, backend validation, and automation frameworks. Hands-on experience with Selenium, Pytest, Robot Framework, Postman, or similar tools. Good knowledge of Unix/Linux, shell scripting, and databases. Strong analytical, debugging, and problem-solving skills. Ability to work in fast-paced product engineering environments. Good to Have Exposure to MLOps, AI validation frameworks, or data testing. Experience working with cloud platforms and distributed systems. Knowledge of warehouse automation, robotics, or supply chain systems is a plus

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