job description
Join Elgada BPO Solutions Inc. as an AI QA Engineer and play a pivotal role in ensuring the quality and reliability of cutting-edge AI systems. We are seeking a detail-oriented professional with a strong background in QA automation and experience in testing AI-driven applications. If you are passionate about leveraging your technical expertise to enhance AI performance and user experience, this is the perfect opportunity for you.
Based in the vibrant and dynamic locations of Bali, you will collaborate with a talented team of engineers and developers to deliver high-quality AI solutions. This role offers a competitive salary, a supportive work environment, and the chance to work on innovative projects that shape the future of technology.
Apply now and take the next step in your career with a company that values innovation, excellence, and continuous learning.
Responsibility
- Design, develop, and execute automated test scripts for AI systems to ensure functionality, performance, and reliability.
- Collaborate with AI developers and data scientists to understand system requirements and identify potential issues.
- Create and maintain comprehensive test documentation, including test plans, test cases, and bug reports.
- Perform regression testing to ensure that new updates and features do not adversely affect existing functionalities.
- Analyze test results, identify defects, and work with the development team to resolve issues efficiently.
- Develop and implement testing strategies for machine learning models, including validation and verification processes.
- Stay updated with the latest trends and advancements in AI and QA automation to continuously improve testing methodologies.
- Participate in code reviews and provide constructive feedback to enhance the quality of AI applications.
Qualifications
- Bachelor's degree in Computer Science, Engineering, or a related field.
- Proven experience as a QA Engineer, with a focus on automation testing and AI systems.
- Strong proficiency in programming languages such as Python, Java, or JavaScript.
- Experience with test automation frameworks like Selenium, Appium, or PyTest.
- Familiarity with AI and machine learning concepts, including model training, validation, and deployment.
- Excellent problem-solving skills and attention to detail.
- Strong communication and collaboration skills to work effectively with cross-functional teams.
- Certification in QA or AI-related fields is a plus.