Role - GenAI Testing Champion
Responsibilities-
• Design and implement a robust, scalable GenAI-based QA automation strategy that supports Windows, iOS, cloud services, and firmware development, ensuring seamless integration and scalability across these platforms.
• Collaborate with data scientists, software development teams and other AI professionals gather insights into their testing needs and challenges, guaranteeing that the AI based approach in driving Ecosystem quality.
• Standardize QA processes and tools across all teams, integrating GenAI technologies to automate testing tasks, minimize manual effort, and identify issues earlier in the development lifecycle.
• Align technical architecture, design and implementation with existing and future requirements by gathering inputs from multiple stakeholders - product and program management, users, data scientists and engineers and analysts, and those in IT operations - and developing processes and products based on the inputs.
• Play a key role in defining the AI architecture and selecting appropriate t echnologies and tools from a pool of open-source and commercial offerings. Select cloud, on-premises or hybrid deployment models, and ensure new tools are well-integrated with existing data management and analytics tools.
• Evaluate and select third-party GenAI QA automation tools and services, ensuring they align with our technological environment and testing requirements.
•Create and maintain comprehensive documentation of the QA automation framework, tools, and best practices, promoting knowledge sharing and uniform implementation across teams.
•Educate and mentor team members in GenAI-based testing techniques, tools, and best practices, elevating the QA capabilities within the organization.
•Keep up with advancements in AI, machine learning, and QA technologies to continually refine our QA automation strategy with state-of-the-art tools and methods.
•Assess and enhance the performance of the QA automation framework to guarantee high efficiency, effectiveness, and reliability of testing operations.
•Promote cooperation among software development, QA, and IT operations teams to ensure an integrated approach to product quality and release cycles.
• Designing and testing of highly scalable, reliable systems
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Qualifications:
•Experience in QA automation, including substantial expertise in formulating and executing QA automation strategies.
• Proven track record with GenAI technologies and their application in QA automation.
• Proficiency in automation tools and frameworks, with a comprehensive understanding of testing in Windows, iOS, cloud platforms, and firmware environments.
•In-depth knowledge of software development life cycles, Agile methodologies, and DevOps/MLOps practices.
•Strong problem-solving abilities and creativity in a dynamic work setting.
•Exceptional communication and leadership skills, with the capacity to guide cross-functional teams and spearhead initiatives.
• Certifications relevant to QA methodologies, Agile, or project management.
•Experience with machine learning models and applying them in testing scenarios.
•Knowledge of QA automation processes and practices.
•Thorough knowledge of AI concepts (NLP, deep learning, ML and related adjacencies)
•Data Engineering and distributed computing frameworks
•Proficiency in AI frameworks like PyTorch and languages like Python, Java, C++
