Join us at Qareeb, a pioneering company at the intersection of Edge AI and IoT, as we build cutting-edge solutions through our flagship product QVision. Focused on human surveillance and intelligent systems, QVision leverages state-of-the-art computer vision technologies to enhance security, efficiency, and situational awareness in real-world scenarios.

We are seeking a skilled and innovative AI Engineer with expertise in Computer Vision to join our team and contribute to the advancement of intelligent systems for real-time applications. If you are passionate about developing scalable, efficient, and impactful AI solutions, we want to hear from you!

Key Responsibilities

Develop and refine computer vision models for real-time human surveillance and edge-based solutions.

Create scenarios replicating real-world challenges, including adverse weather, varied lighting conditions, and dynamic environments.

Preprocess, annotate, and manage large-scale datasets for deep learning pipelines.

Train, fine-tune, and evaluate models using state-of-the-art architectures and loss functions tailored to multi-modal data.

Optimize models for deployment on CPUs and resources constrained devices with a focus on computational efficiency and real-time performance.

Stay up-to-date with the latest advancements in Computer Vision and AI, and integrate relevant techniques into our systems.

Collaborate with cross-functional teams to integrate models into production systems.

Design and implement simulators for algorithm evaluation.

Document progress, methodologies, and results effectively.

Required Skills & Qualifications

Education: Bachelor’s or Master’s degree in Computer Science, Electrical Engineering, or a related field .

Programming Skills: Proficiency in Python (mandatory) and modern C++ (highly desirable).

Frameworks & Tools: Extensive experience with TensorFlow, PyTorch, and OpenCV.

Mathematical Knowledge: Solid understanding of linear algebra, geometry, probability theory, numerical optimization, and deep learning fundamentals.

Computer Vision Expertise: Hands-on experience with classical image processing, image theory, object detection, image segmentation, motion analysis, and depth estimation.

Deep Learning Techniques: Proficiency in convolutional neural networks (CNNs), transformers, and multi-modal models.

Teamwork & Communication: Excellent communication skills, ability to summarize and present technical information, and strong teamwork mindset.

What We Offer

A dynamic and fast-paced startup environment where your contributions directly impact the product.

Opportunities to work on cutting-edge AI technologies and solve real-world challenges.

A collaborative and innovation-driven team culture.