Title:  Data Analytics / Video Analytics

Job ID:  16200
Location: 

Aero - 540 Airport Road, SG

Description: 

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.