Job highlights
Required Skills & Experience. Solid background in Machine Learning and Deep Learning. Hands-on experience with PyTorch / TensorFlow.
Experience with multi-modal learning (image + text). Ability to work independently in an R&D-focused;,quick-iteration setup
"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