
Deep Learning Engineer
1 week ago
Full-time | Hybrid/Remote
Skill Sets Needed
- Deep Learning Frameworks: Proficient in PyTorch or TensorFlow
- Programming: Strong Python skills with experience in NumPy, Pandas, and scikit-learn
- Model Development: Experience with CNNs, RNNs, transformers, and self-supervised learning
- Healthcare Data Handling: Exposure to medical images (e.g., DICOM), tabular EHR, or time-series signals
- MLOps Basics: Knowledge of model versioning, deployment tools (e.g., ONNX,Docker), and performance monitoring
- Problem-Solving Mindset: Ability to build practical solutions in resource-constrained, noisy data environments
- Bonus: Familiarity with medical standards (e.g., ICD codes, HL7) or experience in Kaggle/healthcare AI competitions
Key Responsibilities
- Design and train deep learning models for medical imaging, diagnostics, and predictive healthcare analytics
- Collaborate with clinicians, product teams, and data scientists to translate healthcare problems into AI solutions
- Work with real-world healthcare data (images, time-series, EHR), ensuring regulatory compliance (e.g., HIPAA/GDPR)
- Contribute to model deployment pipelines, optimizing performance in production environments
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