Computer Vision & AI Developer

Company: Tramitar Conduccion Systems
Location: Al-Soor Street, Burj Al Shaya, Kuwait City
Job Position: Computer Vision \& AI Developer
Salary: KWD 2,400 per month

Job Overview

Tramitar Conduccion Systems is seeking a talented and innovative Computer Vision \& AI Developer to design, develop, and deploy intelligent vision-based solutions. The successful candidate will work on advanced AI technologies involving image processing, object detection, video analytics, machine learning, and deep learning applications to support smart automation and intelligent systems.

Key Responsibilities

• Develop and deploy computer vision and AI solutions for image and video analysis applications.
• Design, train, test, and optimize machine learning and deep learning models.
• Build object detection, image classification, facial recognition, tracking, and anomaly detection systems.
• Develop and maintain data pipelines for image and video datasets.
• Implement computer vision algorithms using industry-standard frameworks and libraries.
• Collaborate with software engineers, data scientists, and project stakeholders to deliver AI-driven products.
• Evaluate model performance and continuously improve accuracy, efficiency, and scalability.
• Integrate AI and computer vision models into production environments and enterprise applications.
• Conduct research and experimentation on emerging AI, deep learning, and computer vision technologies.
• Develop technical documentation, reports, and model deployment guidelines.
• Ensure compliance with data privacy, security, and ethical AI standards.
• Troubleshoot and optimize deployed AI systems to maintain high performance and reliability.

Qualifications

• Bachelor's degree in Computer Science, Artificial Intelligence, Software Engineering, Data Science, Electrical Engineering, or a related field.
• Minimum 3–5 years of experience in computer vision, machine learning, AI development, or related disciplines.
• Strong proficiency in Python and AI development frameworks.
• Hands-on experience with OpenCV, TensorFlow, PyTorch, Keras, or similar machine learning libraries.
• Strong understanding of image processing, deep learning, neural networks, and computer vision algorithms.
• Experience with object detection frameworks such as YOLO, SSD, Faster R-CNN, or equivalent technologies.
• Knowledge of video analytics, image segmentation, and pattern recognition techniques.
• Experience with cloud platforms such as AWS, Microsoft Azure, or Google Cloud is preferred.
• Familiarity with MLOps practices, model deployment, Docker, and containerized environments.
• Strong analytical and problem-solving skills.
• Excellent communication and teamwork abilities.
• Ability to manage multiple development projects in a fast-paced environment.

Preferred Qualifications

• Experience with Generative AI, multimodal AI systems, and Large Language Models (LLMs).
• Knowledge of edge AI deployment and real-time inference systems.
• Familiarity with autonomous systems, smart surveillance, intelligent transportation, or industrial automation solutions.
• Experience working with GPU acceleration technologies and high-performance computing environments.
• Professional certifications in Artificial Intelligence, Machine Learning, Cloud Computing, or Data Science are an advantage.

Work Location: In person