AI Engineer - Computer Vision

Job description

Remote Junior AI Engineer – Computer Vision Employment Type: Full-time (8 hours) Remotely Experience Level: Junior (3+ years) the employer 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 the employer, 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 the employer, 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.

Requirements

• · 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.

Skills