
Machine Learning Quality Engineer
Welcome to ServiceNow, the leading provider of cloud-based software solutions for businesses around the world. We are seeking a highly skilled Machine Learning Quality Engineer to join our dynamic team and help us shape the future of our platform. As a Machine Learning Quality Engineer, you will play a crucial role in ensuring the accuracy, reliability, and performance of our machine learning algorithms. Your expertise will be essential in driving our company's success and delivering top-quality products to our clients. If you are passionate about machine learning, have a keen eye for detail, and thrive in a fast-paced environment, then we want you on our team! Read on to learn more about this exciting opportunity and see if you have what it takes to excel in this role.
- Develop and implement quality control processes for machine learning algorithms, ensuring accuracy and reliability.
- Collaborate with cross-functional teams to define and execute test strategies and plans for machine learning features.
- Analyze and interpret data to identify potential issues and areas for improvement in machine learning models.
- Conduct thorough and comprehensive testing of machine learning algorithms, including functional, regression, and performance testing.
- Identify and report any defects or issues to the development team, providing detailed and actionable feedback.
- Work closely with developers to troubleshoot and resolve any issues found during testing.
- Develop and maintain automated testing scripts for machine learning features.
- Stay current with industry trends and best practices in machine learning and quality assurance.
- Participate in code reviews and provide feedback on code changes related to machine learning.
- Communicate test results and progress to stakeholders, including project managers and product owners.
- Continuously seek ways to improve the quality and efficiency of testing processes.
- Mentor and train other team members on machine learning testing techniques and best practices.
- Collaborate with data scientists and engineers to ensure seamless integration of machine learning algorithms into the platform.
- Help drive the overall quality and reliability of the ServiceNow platform by providing valuable insights and recommendations based on testing results.
Bachelor's Or Master's Degree In Computer Science, Data Science, Or A Related Field.
Minimum Of 3-5 Years Of Experience In Software Quality Assurance, With A Focus On Machine Learning And Data-Driven Applications.
Strong Understanding Of Machine Learning Principles And Techniques, Including Data Preprocessing, Feature Selection, Model Evaluation, And Hyperparameter Tuning.
Proficiency In Programming Languages Such As Python, R, And Sql, As Well As Experience With Machine Learning Libraries And Frameworks (E.g. Tensorflow, Scikit-Learn).
Experience With Testing Tools And Methodologies, Including Test Automation, Regression Testing, And Performance Testing.
Documentation
Quality Assurance
Testing
Programming
Data Analysis
Communication
Agile Methodology
Machine Learning
Data Visualization
Automation
Statistical modeling
Problem-Solving
Troub
Communication
Conflict Resolution
Leadership
Problem Solving
Time management
creativity
Attention to detail
Teamwork
Adaptability
Empathy
According to JobzMall, the average salary range for a Machine Learning Quality Engineer in Santa Clara, CA, USA is between $130,000 and $170,000 per year. This range can vary depending on factors such as years of experience, education level, and specific skills and certifications.
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ServiceNow is a Santa Clara, California-based software company that develops a cloud computing platform to help companies manage digital workflows for enterprise operations.

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