Senior QA Engineer (AI/ML- Part Time)

As a Quality Assurance Engineer, you will play a vital role in ensuring the reliability, functionality, and performance of our products. You will collaborate with cross-functional teams including engineers and product managers to implement and execute effective quality assurance processes. Your expertise in QA methodologies, tools, and processes will be instrumental in maintaining and improving the overall quality of our products.

Responsibilities:

• Develop and implement comprehensive test plans and strategies for our products, ensuring that all functional and nonfunctional requirements are met
• Execute test cases and accurately report test results, defects, and other quality-related issues using appropriate tools and systems
• Conduct thorough regression, integration, APIs and system testing to validate the stability, performance, and reliability of AI/ML solutions
• Collaborate closely with engineers and product managers to understand project requirements, identify potential issues, and propose improvements to enhance product quality
• Build and Audit Quality processes

Qualifications:

• Bachelor's degree in Computer Science, Engineering, or a related field (or equivalent practical experience)
• 4-6 years of professional experience in quality assurance, with a strong background in software testing methodologies and processes
• Solid knowledge of QA best practices, including test planning, test case design, defect/test management, and Bugs reporting
• Solid REST APIs testing experience 
• Strong analytical and problem-solving skills, with the ability to troubleshoot complex issues and provide effective solutions
• Excellent communication and collaboration skills, with the ability to work effectively in a cross-functional team environment
• Familiarity with AI/ML concepts, algorithms, and tools is highly desirable
•  Good Automation testing knowledge using programming languages such as Python, Java, or C++