Keras Jobs

I have a curated dataset of patients’ genetic profiles and need a deep-learning solution that can reliably flag the presence of heart disease. Because the data are entirely genomic, the job begins with thoughtful preprocessing and feature engineering (handling high-dimensional SNPs, normalisation, train/validation split, class-imbalance techniques if required). My single, overriding success metric is F1 Score; accuracy alone will not do, so the model must be tuned to balance precision and recall. You may choose the exact framework—PyTorch or TensorFlow/Keras are both fine—as long as the final code is clean, reproducible, and GPU-ready. Deliverables • End-to-end Python code or notebook that loads the raw genetic data, performs preprocessing, trains the deep neur...

I’m building an end-to-end flower–image recognition system that runs as a web application. Users will be able to upload photos from their local drives, and the backend will instantly identify the flower species with high accuracy. Here is the scope I need covered: • Data pipeline – curate or expand an existing public flower dataset, handle cleaning, augmentation, and train/validation/test splits. • Model development – implement a Convolutional Neural Network in Python (TensorFlow / Keras or PyTorch) tuned specifically for multi-class flower classification. I’m open to transfer-learning from ImageNet-based architectures if that speeds convergence. • Evaluation – provide precision, recall, F1, and confusion matrix on the held-out t...