# Junior AI Engineer — InnovationTeam

Canonical: https://jobxdubai.com/jobs/2549848e-junior-ai-engineer
Location: Riyadh, Saudi Arabia
Type: full_time · Level: junior
Monthly salary: AED 11,760 to 17,640 per month (estimated, not employer-stated) (UAE salaries are tax-free)
Posted: 2026-02-15
Apply: https://jobs.workable.com/view/5B48KLtqgmsKWpWJHRWifQ/junior-ai-engineer-in-riyadh-at-innovationteam

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## Description

Job Description
InnovationTeam is a forward-thinking technology company that delivers advanced AI and data-driven solutions across multiple industries. We are currently seeking a Junior AI Engineer – Computer Vision to join our AI engineering team.
As a Junior Computer Vision Engineer at InnovationTeam, you will be responsible for designing, developing, and deploying vision-based AI systems for real-world, production environments. You will work closely with cross-functional teams to build scalable image and video analytics solutions.
This position requires strong expertise in computer vision, deep learning, and software engineering. The ideal candidate is technically strong, self-driven, and experienced in taking AI models from research to production.
At InnovationTeam, we foster a culture of innovation, collaboration, and technical excellence, offering an environment where Junior engineers can make a meaningful impact.

Role Overview
We are seeking a skilled AI Engineer with a strong focus on Computer Vision to develop, optimize, and deploy vision-based AI solutions. The role involves working on real-world image and video analytics problems and delivering production-ready AI systems.

Key Responsibilities
· Develop and train Computer Vision models for image and video analysis.
· Implement solutions for object detection, image classification, segmentation, and tracking.
· Prepare and manage datasets, including data cleaning, labelling, and augmentation.
· Optimize models for GPU performance, inference speed, and scalability.
· Deploy AI models into production using APIs and containerized services.
· Integrate Computer Vision models with broader AI and analytics platforms.
· Collaborate with software engineers, data scientists, and product teams.
· Maintain documentation and ensure code quality and reproducibility.

Required Skills & Qualifications
· Minimum 2 years of hands-on experience in AI / Machine Learning/Deep learning with a focus on Computer Vision.
· Master’s degree in computer science, software Engineering, Artificial Intelligence, Engineering, or a related field.
· Strong knowledge of Computer Vision concepts and algorithms.
· Practical experience with CNN-based models and modern CV architectures.

· Proficiency in Python and common ML/CV libraries (PyTorch or TensorFlow, OpenCV).
· Experience with object detection and segmentation frameworks (e.g., YOLO, Detectron2).
· Understanding of model evaluation, metrics, and performance optimization.
· Experience deploying models in cloud or on-prem environments.
· Familiarity with Docker and basic MLOps practices.
· Excellent English communication skills (written and spoken).

Nice to Have
· Experience with video analytics or real-time inference.
· Exposure to Vision Transformers or multimodal AI.
· Experience with GPU-based training and inference.
· Knowledge of cloud platforms (OCI, AWS, Azure, or GCP).
· Background in domains such as healthcare, smart cities, or industrial AI.

What We Offer
· Work on practical, production-grade Computer Vision solutions.
· Access to GPU infrastructure and modern AI tooling.
· Collaborative, engineering-focused work environment.
· Opportunities for growth and advanced AI exposure.
· Competitive compensation package.

## Requirements

Minimum 2 years of hands-on experience in AI / Machine Learning / Deep learning with a focus on Computer Vision. Master’s degree in computer science, software engineering, artificial intelligence, engineering, or a related field. Strong knowledge of computer vision concepts and algorithms. Practical experience with CNN-based models and modern CV architectures. Proficiency in Python and common ML/CV libraries (PyTorch or TensorFlow, OpenCV). Experience with object detection and segmentation frameworks (e.g., YOLO, Detectron2). Understanding of model evaluation, metrics, and performance optimization. Experience deploying models in cloud or on-prem environments. Familiarity with Docker and basic MLOps practices. Excellent English communication skills.

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