Job
Description
As a Sr. Computer Vision Engineer at Visionify, you will have the opportunity to work on cutting-edge challenges in the field of Computer Vision by leveraging your expertise in developing novel algorithms and optimizations. The majority of our projects are focused on applied Computer Vision, requiring a solid understanding of current state-of-the-art models such as Classification, Object detection, Object Recognition, OCR, LayoutML, GAN, etc. Your primary language will be Pytorch, so prior experience with Pytorch is essential. Additionally, familiarity with Azure and Azure ML Studio framework would be advantageous. Responsibilities: - Understand business objectives and develop Computer Vision solutions to support them, including training frameworks and inference pipelines. - Build and optimize Pytorch models for various runtime environments, including NVIDIA Jetson TensorRT. - Guide and support the development team, accelerate deliverables, and unblock any issues they encounter. - Develop ML/Computer Vision algorithms to solve complex problems. - Explore and visualize data to identify potential performance-affecting differences in data distribution. - Create processes for data acquisition, model training, prototype development, and more. - Source open-source datasets for prototype development. - Develop pipelines for data processing, augmentation, training, inference, and active retraining. - Train models, tune hyperparameters, analyze errors, and deploy models to production. Requirements: - Bachelor's/Master's degree in Computer Science/Computer Engineering/IT or related fields. - 5+ years of relevant experience in Image & Video Processing. - Sound knowledge of deep learning classification models and object detection models. - Proficiency in Pytorch, Torchvision, and training routines. - Experience with Colab, Jupyter Notebook, CUDA/GPU, CNN visualization techniques, and Python. - Strong understanding of Computer Vision, Real-time Video Processing, and writing reusable code. - Familiarity with OpenCV, Scikit packages, NVIDIA platform, Python web frameworks, ML platforms, AWS SageMaker, databases, cloud environments, Docker, and DevOps/MLOps best practices. Desired Traits: - Collaborative mindset. - Adaptability to changing requirements. - Innovative problem-solving skills. - Focus on work quality and robust code development. As a Sr. Computer Vision Engineer at Visionify, you will have the opportunity to work on cutting-edge challenges in the field of Computer Vision by leveraging your expertise in developing novel algorithms and optimizations. The majority of our projects are focused on applied Computer Vision, requiring a solid understanding of current state-of-the-art models such as Classification, Object detection, Object Recognition, OCR, LayoutML, GAN, etc. Your primary language will be Pytorch, so prior experience with Pytorch is essential. Additionally, familiarity with Azure and Azure ML Studio framework would be advantageous. Responsibilities: - Understand business objectives and develop Computer Vision solutions to support them, including training frameworks and inference pipelines. - Build and optimize Pytorch models for various runtime environments, including NVIDIA Jetson TensorRT. - Guide and support the development team, accelerate deliverables, and unblock any issues they encounter. - Develop ML/Computer Vision algorithms to solve complex problems. - Explore and visualize data to identify potential performance-affecting differences in data distribution. - Create processes for data acquisition, model training, prototype development, and more. - Source open-source datasets for prototype development. - Develop pipelines for data processing, augmentation, training, inference, and active retraining. - Train models, tune hyperparameters, analyze errors, and deploy models to production. Requirements: - Bachelor's/Master's degree in Computer Science/Computer Engineering/IT or related fields. - 5+ years of relevant experience in Image & Video Processing. - Sound knowledge of deep learning classification models and object detection models. - Proficiency in Pytorch, Torchvision, and training routines. - Experience with Colab, Jupyter Notebook, CUDA/GPU, CNN visualization techniques, and Python. - Strong understanding of Computer Vision, Real-time Video Processing, and writing reusable code. - Familiarity with OpenCV, Scikit packages, NVIDIA platform, Python web frameworks, ML platforms, AWS SageMaker, databases, cloud environments, Docker, and DevOps/MLOps best practices. Desired Traits: - Collaborative mindset. - Adaptability to changing requirements. - Innovative problem-solving skills. - Focus on work quality and robust code development.
