AI back-end Test Engineer bei IBM

Introduction

At IBM Infrastructure & Technology, we design and operate the systems that keep the world running. From high-resiliency mainframes and hybrid cloud platforms to networking, automation, and site reliability. Our teams ensure the performance, security, and scalability that clients and industries depend on every day. Working in Infrastructure & Technology means tackling complex challenges with curiosity and collaboration. You’ll work with diverse technologies and colleagues worldwide to deliver resilient, future-ready solutions that power innovation. With continuous learning, career growth, and a supportive culture, IBM provides the opportunities to build expertise and shape the infrastructure that drives progress.

Your role and responsibilities

As a QA/Test Developer specializing in Artificial Intelligence, you will ensure the quality and testing of AI solutions, working on cutting-edge projects that involve various AI technologies. You will collaborate with coders and Product Owners to identify and resolve defects, driving the adoption of test automation and ensuring the robustness of AI products. Your primary responsibilities will include: • Test AI Solutions: Ensure the quality and testing of artificial intelligence solutions, considering failure scenarios and refactoring to prevent future issues. • Collaborate on Defect Resolution: Work with coders and Product Owners to determine the root cause of defects and implement measures to prevent similar issues from occurring in the future. • Drive Test Automation: Implement unit tests, integration tests, and functional tests to ensure the reliability and efficiency of AI products. • Identify Defects: Discover defects and bugs in AI solutions, reporting and tracking them to ensure timely resolution. • Ensure AI Product Robustness: Verify that AI products are robust and meet quality standards, identifying areas for improvement and implementing changes as needed.

Required technical and professional expertise

• 2+ years of experience.

• Day to day test execution and failure analysis, Open/Close defects

• Linux system administration skills

• Testing in the areas of AI frameworks like PyTorch, TensorFlow or any other frameworks

• Testing and understanding GPU/CUDA based projects

• Testing any AI accelerators and their associated eco system.

• Understanding Machine learning and deep learning technologies

• Rest API automation using Python request

• Test Automation: Exposure to test automation tools and techniques, including unit tests, integration tests, and functional tests.

• Defect Resolution: Experience working with cross-functional teams to identify and resolve defects in AI solutions.

Preferred technical and professional experience

• Proven knowledge on Deep learning, AI frameworks

• Good Linux system programming skills

• Create pipelines and jobs in Jenkins

• Python scripts, Bash, Groovy scripts in Jenkins pipeline

• IBM Z skills are added advantage

IBM is committed to creating a diverse environment and is proud to be an equal-opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender, gender identity or expression, sexual orientation, national origin, caste, genetics, pregnancy, disability, neurodivergence, age, veteran status, or other characteristics. IBM is also committed to compliance with all fair employment practices regarding citizenship and immigration status.