Title:  System Engineer (Data Analytics / Video Analytics)

Responsibilities

• Gather, design and test data analytics (DA), video analytics (VA) and, computer vision (CV) requirements on unmanned air systems (UAS) and their sub-systems. Requirements include:
  • UX/UI to present modelling results, such as dashboarding, report formatting, interactive data manipulation etc.
  • End-to-end workflow and business logic design
• Capturing of DA/VA/CV requirements in DOORS
• Integration with rest of UAS sub-systems
• Work with UAS systems engineer or technical project on defining System-of-Systems (SoS) requirements
• Develop and maintain interface control documents between ground control systems and machine learning models.
• Have knowledge of DA/VA/CV algorithms and tools.
• Deploy and configure DA/VA/CV modules and applications according to requirements.
• Liaise with vendors and sub-contractors
• Manage and train data/image annotators.
• Select, configure and install the following based on project DA/VA/CV requirements:
  • Edge computing device
  • Workstations / servers
  • Sensors
• Participate in flight tests or demonstrations for model evaluation.

Requirements

• Bachelor's Degree in Computer Engineering, Electrical/Electronics Engineering, Data Science, Data Engineering or related technical discipline.
• Knowledge in deep learning frameworks such as Tensorflow, PyTorch, Mxnet, Scikit-learn, Numpy, Pandas, TensorRT, IntelOpenVino.
• Strong problem solving, analytical and conceptual skills, with good communication skills.
• Strong interest in systems development and integration.
• A good team player who can work independently with minimum guidance and monitoring.
• Able to travel overseas (short-term)
• Preferable:
  • Experience in embedded platforms (e.g. Nvidia Jetson, Intel UP Squared)
  • Experience using MLOps and ML lifecycle management platforms such as MLFlow, KubeFlow, AirFlow.
  • Experience using Docker.
  • Experience in software packaging, deployment, UAT, and production.
  • Experience in MathLab.
  • Experience in Linux-based operating systems such as Ubuntu or RedHat.