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

  • Develop machine learning and deep learning solutions using multimodal sensor data from vehicles and road infrastructure.
  • Design and build scalable software pipelines for computer vision applications, including data curation, preprocessing, model training, evaluation, testing, validation, deployment, and monitoring.
  • Create solutions for complex traffic and mobility-related problems.
  • Design and implement efficient, low-cost approaches for video-based inference.
  • Train, fine-tune, and optimize machine learning and deep learning models for real-world performance and scalability.
  • Collaborate with cross-functional teams to develop advanced, production-ready systems.
  • Stay current on emerging technologies, research, and open-source tools and apply them to improve system performance and capabilities.

Requirements

  • Bachelor’s or Master’s degree in Computer Science or a related field.
  • 2+ years of relevant experience in Machine Learning or Computer Vision.
  • Strong understanding of machine learning and deep learning fundamentals.
  • Experience training and optimizing deep learning models, including loss function design and hyperparameter tuning on real data.
  • Solid foundation in mathematics, including probability, statistics, and linear algebra.
  • Strong knowledge of data structures and algorithms.
  • Proficiency in Python and C/C++.
  • Experience writing modular, efficient, and testable code for production systems.
  • Ability to identify, leverage, and develop expertise in emerging technologies and open-source tools.

Interested in this position?

Apply directly on the company website

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