Computer Vision Engineer

Our Client is one of the fastest-growing companies and a recognised leader in digital transformation and AI technologies, serving global clients across the education, healthcare, and manufacturing sectors. With aggressive plans to expand into many international markets, we are growing our world-class engineering team.

About the Role

We are seeking a talented Computer Vision Engineer to design, implement, and deploy advanced vision-based systems that power real-world applications. This role offers the opportunity to work with cutting-edge deep learning models and collaborate with experts across multiple domains.

Key Responsibilities

• Design and develop computer vision algorithms for object detection, segmentation, tracking, pose estimation, and more.
• Implement and optimize deep learning models using PyTorch, TensorFlow, and OpenCV.
• Prepare datasets, conduct model training, fine-tuning, and performance evaluation on real-world data.
• Deploy CV models to cloud and edge environments using tools like ONNX, TensorRT, and Docker.
• Collaborate with backend and infrastructure teams to integrate vision models into scalable applications.
• Stay up to date with the latest research in computer vision and apply relevant findings to production.
• Participate in code reviews, contribute to architecture design, and help maintain high-quality technical documentation.

Required Qualifications

• Bachelors or Masters degree in Computer Science, Electrical Engineering, or a related field.
• 24 years of professional experience in computer vision and deep learning.
• Proficiency in Python and/or C++, with solid experience using PyTorch, TensorFlow, and OpenCV.
• Strong understanding of CNNs, vision transformers, and modern computer vision architectures.
• Familiarity with model optimization and compression techniques.
• Hands-on experience with deployment tools such as Docker, REST APIs, ONNX, and TensorRT.
• Experience with edge deployment on devices like Jetson Nano, Coral, or mobile platforms.
• Exposure to MLOps tools, CI/CD for ML pipelines, or cloud platforms (AWS, Azure, GCP).
• Familiarity with SLAM, OCR, 3D vision, or multimodal ML approaches.

If you are interested, please send your CV to jobs@mindplus.global or apply below.