'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
Strong 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;, quick-iteration setup

📌 Senior Machine Learning Engineer (Fully Remote) (India)
🏢 Qloron
📍 India