Machine Learning QA Engineer
Core
Ensuring the reliability, accuracy, and performance of computer vision and machine learning products through test strategies, data analytics, and model training.
Role type
ML Quality Assurance Engineer
Builds
Customer-facing AI products for traffic safety and smart infrastructure
Domain
Transportation / Computer Vision / Machine Learning
Deliverable
production ML models
Required skills
Python, SQL, Classical Machine Learning Models (Random Forest, SVM, Naive Bayes), Statistical inference, Data analytics, Annotation tools (CVAT)
Preferred skills
Javascript, Spreadsheet querying, MS Office tools
Technologies
Python, SQL, Javascript, CVAT, Random Forest, SVM, Naive Bayes
Responsibilities
Design test plans and cases for AI products, Strategize evaluation methodologies and reporting, Perform data analytics on large datasets, Monitor and track product anomalies, Train and deploy ML models to boost performance, Create and maintain test documentation
Seniority
Mid-level, hands-on IC
