"Senior Machine Learning / Deep Learning Engineer" Exp
- 5 Years Remote Your Roles and Responsibilities
• Design, train, and optimize complex neural networks, including:
• CNNs for image-based tasks
• Graph-based models (GCN or similar)
• Advanced architectures such as KAN or equivalent
• Fine-tune large pre-trained models on small, specialized datasets (image + clinical/text descriptors)
• Implement feature selection techniques (LASSO Regression, Random Forest, etc.) to remove redundant or insignificant features
• Design and implement multi-modal fusion architectures combining image and text data
• Define and optimize custom loss functions enforcing cross-modal consistency and complementary learning




• Evaluate models using task-specific metrics for classification, segmentation, and object detection
• Support multi-label classification strategies and guide data annotation approaches Required Skills & Experience
• Robust background in Machine Learning and Deep Learning
• Hands-on experience with PyTorch / TensorFlow
• Proven expertise in model optimization and performance evaluation
• Experience with multi-modal learning (image + text)
• Ability to work independently in an R&D-focused;, fast-iteration setup

📌 Senior Machine Learning (India)
🏢 Qloron
📍 India