Data Analytics / Video Analytics
Aero - 540 Airport Road, SG
ST Engineering
At ST Engineering, we harness technology and innovation to enable a more secure and sustainable world. Discover our innovations for smart cities, defence and security.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.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Job stats:
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Category:
Analyst Jobs
Tags: Airflow Computer Vision Data Analytics Deep Learning Docker Engineering Kubeflow Linux Machine Learning MLFlow ML models MLOps MXNet NumPy Nvidia Jetson Pandas PyTorch Scikit-learn TensorFlow TensorRT UX
Region:
Asia/Pacific
Country:
Singapore
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