Computer Vision Developer

2 weeks ago

rajahmundry, India beBeeMachinelearning Full time

Key Responsibilities:Develop, train and optimize computer vision models using YOLO (v5/v8) for object detection and tracking.Implement and integrate Face Recognition systems into real-time applications.Build, fine-tune and deploy AI/ML models for video analytics and automation workflows.Work with large video datasets to improve accuracy, speed and performance.Required Skills:Strong proficiency in Python and OpenCV.Experience with TensorFlow or PyTorch for model training and development.Practical knowledge of YOLOv5 / YOLOv8 and face recognition libraries.Understanding of real-time processing pipelines and GPU optimization.Good to Have:Experience with CCTV, video surveillance or security analytics.Familiarity with deployment on edge devices (Jetson, Raspberry Pi).Basic knowledge of MLOps or model deployment frameworks.About This RoleWe're looking for a skilled developer to join our team. The successful candidate will have experience working with computer vision models, particularly those utilizing YOLO (v5/v8). They should also be familiar with integrating Face Recognition systems into real-time applications and have a strong understanding of AI/ML model development.Job RequirementsCandidates must have hands-on experience with computer vision models, including YOLO (v5/v8) and face recognition libraries.The ideal candidate will have proficiency in Python and OpenCV, as well as experience with model training and development using TensorFlow or PyTorch.Familiarity with deployment on edge devices (Jetson, Raspberry Pi) and basic knowledge of MLOps or model deployment frameworks is highly desirable.

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