Artificial Intelligence • Machine Learning • Intelligent Automation • Intelligent Document Processing • Insurance Automation
201 - 500
💰 $100M Series E on 2021-12
September 19
Artificial Intelligence • Machine Learning • Intelligent Automation • Intelligent Document Processing • Insurance Automation
201 - 500
💰 $100M Series E on 2021-12
• Help the teams identify and resolve ML problems • Create and execute efficient end-to-end manual and automation test cases • Verify that ML models are integrated properly within the application and are performing as expected • Report and identify errors and inconsistencies throughout all functional areas • Extend and execute our load test suite • Analyze the performance results of ML models • Extend and execute our model compatibility test suite • Help with defining and executing testing strategies for LLM/VLM Integrations • Provide input and status updates regarding test results on a daily basis • Contribute to the improvement of the automation framework, development and release process • Work closely with the Product Manager and Engineering Manager to define and clarify requirements • Identify and research issues with our products • Work with our Data specialists on anything data-related
• 2+ years of experience in Software QA • At least 1 year of experience in test automation • Experience with REST API testing • Programming skills in any language (but willing to switch to Python) • Experience working in distributed teams and Agile environment • Understanding of the Development and Test process and the role of the QA Engineer • Very good troubleshooting and analytical skills • Data driven and detail oriented • Excellent verbal and written communication skills in English • Self-driven, curious, and highly motivated person willing to learn • Able to work in collaboration with other team members as well as to meet deadlines • Willingness to help out in other functional areas and able to adjust to changing priorities • Trustworthy and energetic team player with a strong work ethic • Programming skills in Python (nice-to-have) • Experience with data analysis, Pytest, CI/CD platforms, Machine Learning (nice-to-have) • Experience with Selenium or other Web testing tools and frameworks (nice-to-have)
Apply NowMarch 22
51 - 200
Automation engineer ensuring quality standards for a fast-growing SaaS company.
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