Senior Computer Vision Engineer

Description:

We are seeking a highly skilled and innovative Computer Vision Engineer to join our cutting-edge AI team. The ideal candidate will have a strong background in developing computer vision models from scratch, leveraging deep learning frameworks, and working with state-of-the-art architectures. You will be instrumental in building scalable and efficient models, utilizing the latest advancements in computer vision, deep learning, and AI.

Key Responsibilities:

* Design and develop advanced computer vision models from scratch, focusing on high-performance and accuracy.

* Utilize and fine-tune pre-trained models from HuggingFace for specialized applications, including object detection, image segmentation, and feature extraction.

* Collaborate with the team to integrate Large Language Models (LLMs) into computer vision solutions, enhancing AI capabilities.

* Work with cloud platforms such as AWS, GCP, or Azure to deploy, optimize, and maintain scalable AI/ML models.

* Implement and optimize advanced generative models, including Stable Diffusion and Generative Adversarial Networks (GANs), for a variety of use cases such as image synthesis, enhancement, and augmentation.

Qualifications:

* Proven experience in designing and developing computer vision models from scratch, including feature engineering, model selection, and hyperparameter tuning.

* In-depth knowledge of state-of-the-art models such as Convolutional Neural Networks (CNNs), Vision Transformers (ViT), YOLO, and EfficientNet.

* Hands-on experience with HuggingFace library and transformer-based models for computer vision and multi-modal AI applications.

* Strong knowledge of Large Language Models (LLMs) and experience integrating them with computer vision tasks.

* Proficiency in using cloud platforms like AWS, GCP, or Azure for deploying AI/ML models, with a focus on scalability, performance optimization, and cost-efficiency.

* Expertise in generative models, including Stable Diffusion and Generative Adversarial Networks (GANs), with a solid portfolio of previous projects in image generation and enhancement.

* Advanced skills in Python, TensorFlow, PyTorch, OpenCV, and other relevant deep learning frameworks.