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).