data
Posted YesterdayMachine Learning QA Engineer
at Derq
GlobalRemote
Responsibilities
- Collaborate with AI development and product teams to understand product
- Strategize evaluation methodologies, gathering data and evaluation reporting
- Perform data analytics on large datasets
- Monitor and track anomalies within productâs content and statistics
- Train and deploy ML models to help boost product performance
- Create and maintain detailed documentation of test processes, methodologies, and findings
- Interface and coordinate with Engineering team
- Foster a collaborative, proactive team environment that values shared success.
Requirements
- Derq is an MIT spinoff building AI-powered traffic safety and smart infrastructure.
- Weâre a team of passionate innovators, leveraging the latest in AI and technology to transform the future of mobility.
- 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
- requirements and design effective test plans and test cases for AI based products
- Bachelorâs 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 with spreadsheet based querying and analytics
- Excellent knowledge of word processing tools and spreadsheets (MS Office Word, Excel etc.)
- Knowledge of basic statistical principles coupled with logical thinking, coherent reasoning and a detail-oriented attitude
- This is a beta feature to avoid spam applicants.
Benefits
- 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.