Kerja Sepenuh Masa Computer Vision-Visual AI Engineer, Gaji tinggi SGD 6,300 di Avetics Global Pte Ltd Central Region (Singapore) - Maukerja

We are seeking a highly skilled Computer Vision / Visual AI Engineer to design, develop, and deploy vision-based algorithms—including YOLO-based object detection models—for real-time inference on edge devices. The ideal candidate has hands-on experience in Visual AI, deep learning, and edge deployment, with strong awareness of performance, power, and latency constraints.

Key Responsibilities

• Design and implement computer vision algorithms for object detection, tracking, and classification
• Develop, train, and fine-tune deep learning models (YOLO, SSD, custom CNNs)
• Optimize models for edge deployment (latency, memory, power)
• Deploy and benchmark models on edge AI platforms (e.g., NVIDIA Jetson, ARM-based devices)
• Convert and optimize models using TensorRT, ONNX, OpenVINO, or TFLite
• Work with real-world sensor data (RGB, IR, thermal, stereo)
• Collaborate with hardware and systems teams to integrate solutions
• Debug, profile, and improve real-time system performance
• Stay current with advances in computer vision and edge AI

Required Qualifications

• Bachelor’s or Master’s degree in Computer Engineering, Electrical Engineering, Computer Science, or related field
• Strong experience in computer vision and deep learning
• Hands-on experience with YOLO (v5/v7/v8 or similar)
• Proficiency in Python and/or C++
• Experience with PyTorch and/or TensorFlow
• Experience deploying AI models on edge devices
• Understanding of real-time constraints and optimization techniques
• Familiarity with Linux-based embedded systems

Preferred / Nice-to-Have Skills

• Experience with NVIDIA Jetson (Nano, Xavier, Orin)
• Knowledge of CUDA, TensorRT, or OpenCL
• Experience with multi-camera systems or sensor fusion
• Background in robotics, drones, or autonomous systems
• Familiarity with OpenCV, ROS, or GStreamer
• Production deployment experience

Job Type: Full-time

Pay: $5,000.00 - $6,300.00 per month

Education:

• Bachelor's or equivalent (Preferred)

Work Location: In person