Responsibilities:

• Conduct thorough testing of the ML model building platform, user interfaces, and installation/cluster setup process
• Automate test plans and test cases based on user stories
• Automate continuous security and performance testing and monitor the health of the platform when run with client-generated source code
• Integrate test cases to the CI/CD pipelines
• Report defects found during testing on the test management system and track defect status periodically
• Communicate and collaborate effectively with the wider team to ensure successful application development, deployment, and maintenance
• Conduct ML benchmarking with customer use cases to ensure product quality
• Effectively use source code analysis tools to enhance code quality
• Stay up-to-date with industry best practices and emerging technologies related to software testing and ML

Qualifications:

• 4+ years of experience with software testing, including software assurance and code analysis
• Knowledge of ML concepts and metrics
• Demonstrated proficiency in software testing for UI
• Demonstrated proficiency in software testing for cloud tools
• Experience applying secure coding practices
• Excellent coding and scripting skills in Python, Shell, and JavaScript
• Experience with software testing tools such as Selenium and pytest
• Strong problem-solving skills and attention to detail
• Good communication and collaboration skills
• Ability to work independently and as part of a team
• A passion for learning and staying updated with the latest software testing technologies

Nice to have:

• Familiarity with testing Docker and Kubernetes based applications
• Familiarity with AWS infrastructure services
• Familiarity with ML usability tools such as MLFlow, W&B, or AWS Sagemaker
• Experience with testing end-to-end ML applications