Machine Learning Engineer - Computer Vision

Responsibilities : - Develop and optimize computer vision algorithms for tasks such as object detection, image classification, and segmentation. - Implement and fine-tune deep learning models, including generative networks (e.g., GANs, VAE, Diffusion Models), using frameworks like TensorFlow or PyTorch. - Analyze and integrate speech data with computer vision models for multi-modal applications. - Collaborate with cross-functional teams to embed computer vision and generative solutions into products. - Lead projects, mentor junior engineers, and stay updated with advancements in computer vision and generative modeling.Requirements : - 3+ years of experience in machine learning and computer vision, with a focus on generative networks. - Advanced degree in Computer Science, Electrical Engineering, or a related field. - Proficiency in deep learning frameworks (e.g., TensorFlow, PyTorch) and computer vision libraries (e.g., OpenCV). - Experience with speech data processing and its integration with computer vision models. - Strong programming skills in Python and/or C++. - Solid understanding of CNNs, object detection algorithms, image segmentation techniques, and generative models. - Experience deploying models in production and working with cloud platforms is a plus. (ref:hirist.tech)