AI Innovator

21 hours ago

Noida, Uttar Pradesh, India beBeeArtificialintelligence Full time ₹ 1,04,000 - ₹ 1,30,878

Job Description

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The primary objective of this role is to leverage AI expertise to drive innovation in software testing, enhancing efficiency, accuracy, and coverage.

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Key Responsibilities:

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  • Design, develop, and implement AI-based testing solutions and accelerators to automate and optimize various aspects of the software testing process.
  • Integrate AI/ML algorithms into production-grade systems, preferably in the context of test automation or quality assurance.
  • Build machine learning models that can automatically generate test cases, identify anomalies, and predict defects.
  • Integrate AI/ML technologies into test automation frameworks to improve the efficiency, accuracy, and coverage of tests.
  • Develop AI-powered test analytics dashboards to provide insights into test coverage, performance, and potential bottlenecks.
  • Apply machine learning and deep learning techniques to create predictive models that can anticipate defects, performance issues, or vulnerabilities in software systems.
  • Use natural language processing (NLP) to enable AI systems to understand and generate test cases from requirements, user stories, or specifications.
  • Continuously improve AI models using feedback from test results, client data, and industry trends.
  • Build data pipelines for training and optimizing machine learning models.
  • Work closely with QA engineers, product managers, and software developers to understand testing needs and collaborate on developing AI-driven solutions tailored to client requirements.
  • Collaborate with DevOps and CI/CD teams to integrate AI-powered testing solutions into existing continuous integration and continuous testing workflows.
  • Provide guidance and technical expertise to the testing team on how AI can enhance testing practices and processes.
  • Customize AI-based testing tools and accelerators to fit client-specific needs and test environments.
  • Develop automation scripts using AI-driven approaches for test data generation, test execution, and reporting.
  • Optimize test execution times by using AI to intelligently select, schedule, and prioritize tests based on factors like code changes, risk, and business impact.
  • Stay current with developments in AI, machine learning, and the testing industry to incorporate new methodologies and techniques into AI-based testing solutions.
  • Experiment with new AI algorithms and technologies to improve the quality and performance of software testing tools.
  • Contribute to internal research and development efforts aimed at creating next-generation AI-powered testing frameworks.
  • Provide pre-sales technical support by demonstrating AI-based testing solutions and how they can solve specific customer pain points.
  • Assist customers with implementing and customizing AI-driven test solutions, ensuring successful deployment and integration into their environments.
  • Troubleshoot and resolve issues related to AI-based testing systems, including debugging AI models, improving test results, and optimizing performance.
  • Create technical documentation, including AI model architecture, integration guides, and user manuals for internal and client-facing teams.
  • Share knowledge through internal workshops, presentations, and code reviews to help educate the team on AI-based testing approaches.

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