About Averroes.ai:

Averroes.ai is at the forefront of transforming industries through cutting-edge AI solutions. We specialize in leveraging deep learning, computer vision, and state-of-the-art transformer models to drive innovation across a range of sectors. Our team is passionate about pushing the boundaries of what AI can achieve, and we're looking for a talented Mid-Level Data Scientist to join us in shaping the future of artificial intelligence.

Job Description:

We are seeking a motivated and experienced Mid-Level Data Scientist with a strong background in computer vision, deep learning, and transformer models. As a Data Scientist at Averroes.ai, you will be working on innovative projects, developing state-of-the-art models, and contributing to building AI-driven solutions that impact real-world applications. This is a remote position, offering flexibility to work from anywhere while collaborating with a dynamic team of AI experts.

Responsibilities:

• Develop, train, and fine-tune computer vision models using deep learning techniques (e.g., CNNs, RNNs, GANs) and transformer-based architectures (e.g., Vision Transformers, DETR).
• Apply transformer models to enhance vision-based tasks such as image classification, object detection, segmentation, and multi-modal learning.
• Work with large datasets, clean and preprocess data, and apply advanced computer vision algorithms to solve complex problems.
• Collaborate with cross-functional teams (researchers, engineers, and product managers) to define, design, and implement AI-powered solutions.
• Continuously improve and optimize models for scalability and performance in production environments.
• Stay up-to-date with the latest advancements in deep learning, computer vision, transformer models, and related technologies.
• Conduct research, publish findings, and present technical results to both technical and non-technical stakeholders.
• Troubleshoot model performance issues and iterate on model design to meet business goals.

Required Qualifications:

• 2-3 years of hands-on experience in computer vision, deep learning, and transformer models.
• Strong proficiency in Python and deep learning frameworks such as TensorFlow, PyTorch, or similar.
• Solid understanding of computer vision techniques, including image classification, object detection, segmentation, and tracking.
• Experience with transformer models and architectures (e.g., Vision Transformers, Transformers for image processing, DETR, etc.).
• Experience with data preprocessing, feature engineering, and model validation techniques.
• Familiarity with cloud platforms (e.g., AWS, GCP, Azure) for model deployment and scaling.
• Experience with version control tools such as Git.
• Strong problem-solving skills and a passion for AI and machine learning.
• Excellent communication skills and ability to work effectively in a remote team environment.

Preferred Qualifications:

• Advanced degree in Computer Science, Data Science, AI, or related field.
• Experience with generative models (e.g., GANs, VAEs) and reinforcement learning.
• Familiarity with deployment frameworks like Docker and Kubernetes.
• Knowledge of edge computing or mobile deployment for computer vision models.