Computer Vision Engineering

📋 Description

• Design, implement, and validate novel high-precision CV/ML deep learning architectures (CNNs
• Continuously improve codebase structure, model training frameworks, and deployment pipelines in
• Independently write, co-write, and critically review technical design documentation for complex
• Optimize models intensely for accuracy and ultra-low-latency performance; apply advanced
• Build, automate, and refine edge model monitoring tools and continuous integration/deployment
• Diagnose and troubleshoot complex model training failures, inference bottlenecks, and live field

🎯 Requirements

• 5-8 years of relevant industry experience.
• 5+ years of applied machine learning experience with large-scale datasets.
• Degree in Computer Science, Software/Electrical Engineering, Physics, Mathematics, or related field.
• Advanced proficiency in Python, C++, and deep learning frameworks (PyTorch, TensorFlow, OpenCV).
• Experience with edge deployment libraries (ONNX Runtime, OpenVINO, CoreML).
• Knowledge of embedded accelerators (Ambarella CVFlow, Qualcomm SNPE, NVIDIA Jetson).

🎁 Benefits

• Flex working arrangements.
• Home office reimbursement program.
• Baby bonus & parental leave top up program.
• Online learning and networking opportunities.
• Electric vehicle purchase incentive program.
• Competitive medical and dental benefits.