Mid-Level Computer Vision Data Scientist

Mid-Level Computer Vision Data Scientist

We are looking for a Computer Vision Data Scientist with a strong background in deep learning to join our team. You will develop, optimize, and deploy state-of-the-art computer vision models for real-world applications. If you are passionate about cutting-edge AI research and solving complex visual recognition challenges, we’d love to hear from you.

About Averroes

Averroes.ai is revolutionizing AI-powered visual inspections across industries, enabling businesses to automate defect detection, process large-scale image data, and optimize operations with cutting-edge computer vision and deep learning. Our platform analyzes thermal and RGB images to identify anomalies with high precision, reducing manual effort and accelerating decision-making.

We specialize in industries such as solar energy, semiconductor manufacturing, and industrial inspections, where traditional quality control is time-consuming and prone to human error. By leveraging advanced AI models, Averroes.ai can process hundreds of thousands of images daily, significantly improving efficiency, accuracy, and scalability for our customers.

With a mission to push the boundaries of AI-driven automation, Averroes.ai is redefining how businesses approach inspections—making them faster, smarter, and more reliable.

Let’s build the future of intelligent inspections together!

Responsibilities

• Design, train, and optimize deep learning models for image and video analysis.
• Develop and fine-tune architectures for object detection, segmentation, classification, and anomaly detection.
• Implement and experiment with self-supervised, weakly supervised, and transfer learning techniques.
• Enhance model efficiency for deployment on edge devices and cloud-based platforms.
• Work with large-scale image and video datasets, ensuring high-quality data preprocessing and augmentation.
• Collaborate with software engineers to integrate models into production pipelines.

Qualifications

• 3+ years of experience in deep learning and computer vision.
• Strong proficiency in PyTorch for model development.
• Experience with CNNs, transformers (ViTs), GANs, and other state-of-the-art architectures.
• Solid understanding of computer vision techniques such as object detection (YOLO, DETR), segmentation (U-Net, Mask R-CNN), and keypoint detection.
• Hands-on experience with large-scale datasets and efficient data pipeline design.
• Proficiency in Python and familiarity with deep learning frameworks and libraries.
• Experience with model deployment (ONNX, TensorRT, TFLite) is a plus.
• Strong problem-solving skills and ability to work in a fast-paced environment.
• Fluency in English (written and spoken) is a must.

Preferred Qualifications

• Experience with multimodal learning, 3D vision, or synthetic data generation.
• Background in optimizing models for edge AI or cloud inference.
• Familiarity with MLOps tools and practices.

What We Offer

• Competitive salary based on experience.
• Stock options in a high-growth AI startup.
• Opportunity to work on cutting-edge AI research and real-world applications.
• A collaborative and innovative work environment.

If you’re excited about leveraging deep learning to push the boundaries of computer vision, apply now jobs@averroes.ai