AI/ML Quality Assurance Engineer
3 weeks ago
Solve Complex Observability and Security Problems
We are seeking a dedicated QE Engineer (AI/ML) to ensure the integrity and performance of our ML models through rigorous testing and validation.
Key Responsibilities
- Design comprehensive test plans to assess the accuracy, reliability, and robustness of machine learning algorithms.
- Develop, maintain, and expand an automated testing framework for evaluating the performance and accuracy of machine learning models.
- Collaborate with ML Engineers and Product Managers to understand the user experience and product context of ML product features under test.
- Work closely with ML Engineers to understand the structure, characteristics, and intended use of the datasets created for machine learning tasks.
- Analyze test results meticulously, identifying discrepancies, diagnosing potential causes, and recommending corrective measures.
- Establish benchmarks and metrics for model performance and ensure that machine learning outputs meet pre-defined quality standards.
- Integrate quality assurance methodologies into the continuous integration and deployment pipeline (CI/CD) to ensure consistent delivery of high-quality machine learning applications.
- Continuously monitor model performance post-deployment to detect and resolve issues through systematic re-testing and persistent optimization.
Requirements
- 6+ years of experience testing around ML models.
- Bachelor's or master's degree in Data Science, Computer Science, Statistics, Mathematics, or a related field.
- Good understanding of machine learning concepts and model training processes.
- Experience with data visualization tools and techniques.
- Demonstrable skill in SQL and working knowledge of database technologies.
- Solid understanding of statistical methods and their application in validating and testing ML models.
- Familiarity with version control systems like Git, and CI/CD tools such as Jenkins or Travis CI.
- Strong analytical and critical thinking skills with a problem-solving mindset.
About Sumo Logic
Sumo Logic is a cloud-native SaaS data analytics platform that solves complex observability and security problems. Our microservices architecture hosted on AWS ingests petabytes of data daily across many geographic regions. Millions of queries a day analyze hundreds of petabytes of data.
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