AI back-end Test Engineer

Job Description

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 Lead specializing in Artificial Intelligence, you will ensure the quality and testing of AI solutions, working on cutting-edge projects that leverage machine learning, deep learning, and other innovative technologies. You will play a crucial role in guaranteeing the robustness of AI products and identifying potential failure scenarios. Your primary responsibilities will include:

• Lead the AI test team and coordinate all the efforts in testing and working with opensource community
• Develop Test Automation Frameworks: Design and implement comprehensive test automation frameworks, including unit tests, integration tests, and functional tests, to ensure the reliability and efficiency of AI solutions.
• Identify Defects and Collaborate on Solutions: Discover defects and bugs, and work closely with coders and product owners to determine root causes and develop strategies to prevent similar issues from arising in the future.
• Ensure AI Product Robustness: Verify that AI products are robust and meet quality standards, identifying areas for improvement and implementing changes as needed.
  
  

• 12 to 15 years of experience in leading test teams
• 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.
  
  

• 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