AI Engineer - Computer Vision

AI Engineer – Computer Vision

Join InnovationTeam as an **AI Engineer – Computer Vision**, where you’ll play a pivotal role in shaping the future of intelligent visual technologies. In this dynamic position, you’ll leverage cutting-edge machine learning and deep learning techniques to develop innovative solutions that transform how systems perceive, interpret, and interact with visual data. This is an opportunity to contribute to groundbreaking advancements in computer vision while collaborating with a forward-thinking team in Saudi Arabia.

As an AI Engineer – Computer Vision at InnovationTeam, your expertise will be instrumental in designing, implementing, and optimizing algorithms that enable machines to analyze images, videos, and other visual inputs with unprecedented accuracy. You’ll work on a diverse range of projects, from object detection and segmentation to facial recognition, autonomous systems, and beyond. Your contributions will not only enhance the capabilities of AI-driven applications but also drive impactful solutions across industries, including healthcare, autonomous vehicles, and smart infrastructure.

In this role, you’ll collaborate closely with cross-functional teams, including data scientists, software engineers, and domain experts, to translate complex vision problems into scalable and high-performance AI models. Your technical leadership will be essential in refining algorithms, improving computational efficiency, and ensuring seamless integration with existing systems. InnovationTeam values innovation, so you’ll have the freedom to explore creative approaches, experiment with emerging technologies, and push the boundaries of what’s possible in computer vision.

Key Responsibilities:

• Design, develop, and deploy advanced computer vision models using deep learning frameworks such as TensorFlow, PyTorch, or Keras.
• Implement and optimize algorithms for tasks such as image classification, object detection, segmentation, and scene understanding.
• Collaborate with data engineers to preprocess and annotate large-scale visual datasets for training and validation.
• Evaluate model performance using metrics such as precision, recall, and mean average precision (mAP) and iteratively refine solutions.
• Integrate computer vision models into real-world applications, ensuring scalability, robustness, and low-latency performance.
• Stay abreast of the latest advancements in AI and computer vision, and propose innovative solutions to address emerging challenges.
• Document technical processes, model architectures, and findings to support team knowledge sharing and future development.
• Work with stakeholders to define requirements and translate business needs into technical AI solutions.

Qualifications and Skills:

• A strong academic background in Computer Science, Artificial Intelligence, Robotics, or a related field, with a specialization in Computer Vision.
• Proven experience in developing and deploying deep learning models, particularly in computer vision applications.
• Proficiency in programming languages such as Python, with experience in frameworks like TensorFlow, PyTorch, or OpenCV.
• Familiarity with computer vision techniques, including convolutional neural networks (CNNs), transformers, and generative models.
• Experience with data preprocessing, augmentation, and annotation tools for visual datasets.
• A deep understanding of optimization techniques, model evaluation, and performance tuning.
• Strong problem-solving skills and the ability to work in agile environments with minimal supervision.
• Excellent communication and collaboration skills to interface with technical and non-technical stakeholders.
• Passion for innovation and a commitment to advancing AI technologies in a rapidly evolving landscape.

If you’re a visionary AI engineer eager to make a tangible impact through computer vision, we invite you to be part of InnovationTeam’s mission. Help us redefine the possibilities of intelligent visual systems and drive meaningful change in Saudi Arabia and beyond.