Machine Learning QA Engineer
Resumen del puesto por JobGrid
Machine Learning QA Engineer at Derq, remote in Malaysia, on a contract basis. JobGrid presents this role in a normalized, comparable format and links candidates to the original public application page with referral parameters. The listing is current to the provided source timestamps and is shown in the original English source language. This listing is part of JobGrid's Empleos remotos de IA en páginas de empresas.
- Remote role in Malaysia for Derq; employment type is contract.
- Role facts are normalized for comparable search and classification on JobGrid.
- Source freshness: posted 2026-06-02 and last checked 2026-06-03.
- JobGrid sends candidates to the employer's original application page with non-personal referral parameters.
Derq is an MIT spinoff building AI-powered traffic safety and smart infrastructure. We’re a team of passionate innovators, leveraging the latest in AI and technology to transform the future of mobility. Our platform enhances road safety and traffic management by turning real-time data into actionable insights for cities and road operators. Our patented technology collects and analyzes data from connected sensors like cameras, radar, and traffic signal controllers to help predict and prevent road incidents. We deploy edge and cloud solutions that make intersections and highways safer and smarter.
Role Overview
As a ML Quality Assurance Engineer at Derq, you will play a critical role in ensuring the reliability, accuracy, and performance of our computer vision and machine learning based products. You will work closely with our development team to design and execute comprehensive test strategies, identify and report defects, and help improve the overall quality of our customer facing AI products, using data analytics.
Key Responsibilities
- Collaborate with AI development and product teams to understand product requirements and design effective test plans and test cases for AI based products
- Strategize evaluation methodologies, gathering data and evaluation reporting
- Perform data analytics on large datasets
- Monitor and track anomalies within product’s content and statistics
- Train and deploy ML models to help boost product performance
- Create and maintain detailed documentation of test processes, methodologies, and findings
- Keep up to date with advancements in the field to optimize internal processes and workflows
- Interface and coordinate with Engineering team
- Foster a collaborative, proactive team environment that values shared success.