Lead Machine Learning QA Engineer

Ecolab is looking for an experienced Lead Machine Learning QA Engineer to be part of a dynamic team that's at the forefront of technological innovation. We're leveraging cutting-edge AI to create novel solutions that optimize operations for our clients, particularly within the restaurant industry. Our work is transforming how restaurants operate, making them more efficient and sustainable.

As a key player in our new division, you'll have the unique opportunity to shape its culture and direction. Your contributions will directly impact the success of our innovative projects and help define the future of our product offerings. Additionally, you will experience the best of both worlds with this team at Ecolab: the agility and creativity of a startup paired with the stability and resources of a global leader. Our collaborative environment fosters innovation while providing the support and security you need to thrive.

This is a hybrid role based in Eagan, MN.

What's in it For You

• The opportunity to take on some of the world's most meaningful challenges, helping customers achieve clean water, safe food, and healthy environments

• The ability to make an impact and shape your career with a company that is passionate about growth

• The support of an organization that believes it is vital to include and engage diverse people, perspectives and ideas to achieve our best

What You Will Do

• Overseeing the configuration and maintenance of an advanced sensing test lab environment to simulate generic customer sites

• Write the test cases to ensure the quality release of the ML based software system at the customer sites; tests will include functionality of our edge architecture and the accuracy of our ML models as they are modified and released over time

• Develop automated tests to accelerate the testing cycle

• Executing manual and automated tests to verify functionality of software releases

• Oversee other QA engineers in test case development and test execution

• Participate in sprint testing to test user stories as they are completed during the sprints write the overall system testing required to ensure end to end system functionality

• Work closely with development team in defect analysis and resolution verification

Minimum Qualifications

• Bachelor's degree in Science, Engineering, or Mathematics field

• Seven (7) years of software testing experience

• Exposure to Machine Learning based systems

• Exposure to agile methodology, including Sprint Test case development and execution

• Automated test framework experience

• Exposure to IoT and Edge hardware

• Immigration sponsorship not available for this role

Preferred Qualifications

• Experience leading a small team of test engineers

• Test Validation of ML based systems

• Jira and/or ADO tool experience

• Python coding for automated test case development

• Azure Machine learning Model testing

• Azure cloud testing

• Strong understanding of Networking and Network debugging

• Experience with computer vision

• General computing hardware or sensors experience

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