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.
Basic qualifications
- 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.
- Minimum 5 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).
Preferred qualifications
- 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.
Benefits
- 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.
Tags & focus areas
Used for matching and alerts on DevFound Fulltime Remote Ai Ai Engineer Deep Learning Computer Vision