Computer Vision Engineer/Data Scientist
Argyle Infotech
Computer Vision Engineer
The role is for a Computer Vision Engineer with strong Python programming skills. The candidate must have experience with Alteryx and machine learning frameworks such as TensorFlow and PyTorch. Knowledge of computer vision libraries like OpenCV and the ability to develop and implement computer vision algorithms is essential. Strong problem-solving and analytical skills are required. Exposure to machine learning deployment tools like Docker and Kubernetes is beneficial. The candidate should be experienced in deploying modules in a cloud environment and using version control tools like Git. The job entails researching, developing, and implementing computer vision algorithms for image and video processing, object detection, recognition, tracking, and classification. The candidate will be expected to optimize existing computer vision systems, create and deploy ETL workflows using Alteryx, and collaborate with cross-functional teams. The role involves experimenting with emerging technologies, data collection and preprocessing for machine learning models, and staying updated on the latest developments in machine learning and computer vision research. Writing reusable, testable, and efficient code, documenting the development process and project results, and deploying modules in AWS/Azure Cloud environment are also part of the job responsibilities.
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