Computer Vision Engineer - Python/Tensorflow

<p></p><p>Key Responsibilities :</p><p><br/></p><p>- Design, develop, and deploy computer vision algorithms for image and video analytics.</p><p><br/></p><p>- Work on deep learning frameworks (TensorFlow, PyTorch, etc.) to build and train models.</p><p><br/></p><p>- Apply techniques such as object detection, segmentation, tracking, and recognition.</p><p><br/></p><p>- Optimize models for real-time inference and efficient deployment.</p><p><br/></p><p>- Collaborate with data scientists and software engineers to integrate models into production systems.</p><p><br/></p><p>- Conduct experiments, evaluate performance, and fine-tune models to meet accuracy and efficiency targets.</p><p><br/></p><p>- Stay updated with the latest research and advancements in computer vision and AI.</p><p><br/></p><p>Requirements :</p><p><br/></p><p>- Bachelors or Masters degree in Computer Science, Electronics, or a related field.</p><p><br/></p><p>- 2+ years of hands-on experience in computer vision and deep learning projects.</p><p><br/></p><p>- Strong programming skills in Python and experience with OpenCV, TensorFlow, or PyTorch.</p><p><br/></p><p>- Experience in image/video analytics, object detection, classification, and segmentation.</p><p><br/></p><p>- Familiarity with CUDA, GPU programming, or optimization techniques.</p><p><br/></p><p>- Understanding of data pipelines, preprocessing, and model deployment.</p><p><br/></p><p>- Experience with cloud platforms (AWS, GCP, or Azure) is a plus.</p><p><br/></p><p>- Strong analytical, problem-solving, and communication skills.</p><p></p><p></p> (ref:hirist.tech)