ML Quality Assurance Engineer

2 hours, 33 minutes ago
Contract
Mid Level
Artificial Intelligence and Machine Learning
Derq

Derq

Derq is a Dubai-based MIT spinoff that leverages AI, machine learning, and V2X technologies to eliminate road accidents and save lives. Their award-winning platform provides real-time analytics, alerts to connected vehicles, and infrastructure, making ...

Road & Rail
11-50
Founded 2016

Description

  • Collaborate with AI development and product teams to understand requirements and design test plans and test cases for AI-based products.
  • Define evaluation methodologies, gather data, and prepare evaluation reports.
  • Perform data analysis on large datasets to assess product behavior and quality.
  • Monitor and track anomalies in product content and statistics.
  • Train and deploy machine learning models to improve product performance.
  • Create and maintain detailed documentation of test processes, methodologies, and findings.
  • Keep up to date with advancements in the field to improve internal processes and workflows.
  • Interface and coordinate with the engineering team to support product quality.
  • Foster a collaborative and 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.
  • Knowledge or experience with Python, JavaScript, and SQL.
  • Familiarity with classical machine learning models such as Random Forest, SVM, and Naive Bayes.
  • Core understanding of mathematical concepts for statistical inference.
  • Hands-on experience with spreadsheet-based querying and analytics.
  • Proficiency with annotation tools such as CVAT.
  • Strong command of word processing tools and spreadsheets, including MS Office Word and Excel.
  • Good oral and written English communication and reporting skills.
  • Knowledge of basic statistical principles with logical reasoning and a detail-oriented attitude.

Interested in this position?

Apply directly on the company website

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