📋 Description

• Work with machine learning and computer vision models
• Develop and implement computer vision architectures such as CNNs and Vision Transformers
• Build and maintain ML models for image classification, detection, metric learning, and embeddings
• Apply few-shot and self-supervised learning techniques
• Implement model calibration, uncertainty estimation, and novelty detection
• Manage MLOps and model lifecycle processes

🎯 Requirements

• 5+ years of hands-on ML/Computer Vision experience
• Strong Python programming
• Strong experience with PyTorch or similar deep-learning frameworks
• Knowledge of modern Computer Vision architectures: CNNs, Vision Transformers (ViT)
• Experience in at least 2 of: Image Classification/Detection, Metric Learning/Embeddings/Similarity
• Strong understanding of model validation, experimentation, and data quality