"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, fast-iteration setup
