Machine Learning QA Engineer

Job Title: ML Quality Assurance Engineer

About

Derq is an MIT spinoff specializing in AI-powered traffic safety and smart infrastructure. Their platform enhances road safety and traffic management by transforming real-time data from sensors like cameras and radar into actionable insights for cities and road operators. Derq's patented technology predicts and prevents road incidents using edge and cloud solutions to make intersections and highways safer and smarter.

Responsibilities

• Play a critical role in ensuring the reliability, accuracy, and performance of computer vision and machine learning based products.
• 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 the 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 the Engineering team.
• Foster a collaborative, proactive team environment that values shared success.

Requirements

• Bachelor’s degree in an analytical domain such as Machine Learning, Computer Science, or a related discipline.
• Python, Javascript and SQL Knowledge/Experience.
• Familiarity with classical Machine Learning Models such as Random Forest, SVM, Naive Bayes.
• Core understanding of mathematical concepts for statistical inference.
• Hands-on experience with spreadsheet-based querying and analytics.
• Proficient with annotation tools such as CVAT.
• Excellent knowledge of word processing tools and spreadsheets (MS Office Word, Excel etc.).
• Good command of English both oral and written and reporting skills.
• Knowledge of basic statistical principles coupled with logical thinking, coherent reasoning and a detail-oriented attitude.