Our client is an emerging leader in the field of visual intelligence solutions, developing
solutions dedicated that enhances operational safety and productivity, ensuring safer
and more efficient work environments across different industries.
As their Computer Vision Engineer, you'll use your technical expertise to solve complex
business challenges using advanced AI offerings. Your role will not be limited to just
model training and finetuning; it will involve the full spectrum of the use case lifecycle,
from conceptualisation to execution, focusing on optimisation and scalability of the
solution for both on-prem and cloud deployments.
Candidates must be based either in Singapore or Hong Kong.
What you will do
- End-to-End Project Ownership: Take comprehensive responsibility for development of computer vision pipelines, from initial concept to deployment including ideating, building and refining the solutions.
- High-Performance Pipelines: Spearhead the development of robust and scalable computer vision pipelines focusing on both local and cloud-based applications.
- Benchmarking and Working with State-of-the-Art Models: Engage in thorough benchmarking activities to assess and enhance the accuracy of latest computer vision breakthroughs.
- Strive for optimization and latest advancements in the field.
- Bug Fixing: Proactively identify and resolve software bugs, ensuring the deployment
- process is smooth and efficient.
- Cross-Team Collaboration for Solution Development: Engage in close collaboration with various stakeholders, including subject matter experts, to develop comprehensive solutions.
What you will need
- Bachelor's or master’s in computer science, Electrical Engineering, or related field, or equivalent experience.
- Good command of both written and spoken English and Mandarin
- Over 3 years of experience working with Computer Vision, especially in training models and developing efficient pipelines, with a focus on object detection, image segmentation, and pose estimation.
- Proficiency with Python, image processing libraries like OpenCV and Pillow and deep learning frameworks like PyTorch and TensorFlow.
- Demonstrated expertise in developing and implementing computer vision pipelines, understanding visual data processing and algorithms.
- Solid understanding of data structures, algorithms, and software design principles.
- Experience in model optimization, including edge hardware deployment. Experience with Deepstream/GStreamer/Edge optimised libraries is a plus.
- Research experience or working experience with IoT/Edge devices is preferred.
- Demonstrated ability to produce highly scalable pipelines, working effectively both independently and as part of a team.
- Excellent communication abilities to articulate findings and technical challenges to both technical and non-technical stakeholders
