Senior Specialist, Artificial Intelligence Quality Assurance

Senior Specialist, Artificial Intelligence Quality Assurance

Job Description

To be used in our artificial intelligence projects, a test device is arranged inside to write software test scenarios, select tests, and realize test automation scenarios with the help of test tools.

Education & Experience

BS or MS in Computer, Software, Electrical and Electronics Engineering or Mathematical Engineering or related fields.
Min 2 years of experience in software testing
Intermediate knowledge of PL-SQL, SQL
Good knowledge of JIRA is required
Understanding of software testing process – agile, web service and API Postman testing is required
Performance testing experience is a plus
ISTQB Certificate is a plus
Proven experience in software testing, preferably in AI or machine learning projects.
Knowledge of programming languages such as Python, Java, or C++ to understand codebase and write test scripts.
Experience with continuous integration and continuous deployment (CI/CD) pipelines.
Ability to quickly adapt to new technologies and tools as project requirements evolve.
Strong analytical and problem-solving skills.
Excellent communication and teamwork abilities.
Upper intermediate level of English reading and writing skills are required

Responsibilities

Conduct Comprehensive Testing: Perform thorough UI testing, API testing, and accuracy tests to identify bugs and ensure the accuracy of AI algorithms and applications.
Automate Testing Processes: Develop and execute test scripts for automated testing using tools such as Selenium, Postman, or similar platforms.
Ensure Security: Conduct security tests, including vulnerability assessments and penetration testing, to identify and address potential security risks in AI projects.
Perform End-to-End Testing: Conduct end-to-end testing to validate the functionality and performance of AI solutions across various use cases and scenarios.
Organize Testing Efforts: Lead and organize testing processes within the team, including defining testing strategies, creating test plans, and coordinating testing activities.
Provide Guidance and Support: Offer guidance and support to team members on testing methodologies, tools, and best practices, ensuring a consistent and high-quality testing process.
Collaborate with Development Team: Work closely with the development team to identify and resolve issues in a timely manner, ensuring the smooth delivery of AI projects.
Continuous Improvement: Continuously evaluate and improve the testing process, incorporating feedback and implementing enhancements to increase efficiency and effectiveness.