As a candidate applying for the Full-time | Hybrid/Remote role at SeaportAI, you will be expected to possess the following skill sets: - Proficient in Deep Learning Frameworks, specifically PyTorch or TensorFlow - Strong programming skills in Python with experience in NumPy, Pandas, and scikit-learn - Experience in Model Development with CNNs, RNNs, transformers, and self-supervised learning - Exposure to Healthcare Data Handling including medical images (e.g., DICOM), tabular EHR, or time-series signals - Knowledge of MLOps Basics such as model versioning, deployment tools (e.g., ONNX, Docker), and performance monitoring - Ability to solve problems and build practical solutions in resource-constrained, noisy data environments - Bonus points for familiarity with medical standards (e.g., ICD codes, HL7) or experience in Kaggle/healthcare AI competitions Your key responsibilities in this role will include: - Designing and training deep learning models for medical imaging, diagnostics, and predictive healthcare analytics - Collaborating with clinicians, product teams, and data scientists to translate healthcare problems into AI solutions - Working with real-world healthcare data (images, time-series, EHR), ensuring regulatory compliance (e.g., HIPAA/GDPR) - Contributing to model deployment pipelines, optimizing performance in production environments Please note that you are required to send your resume to info@seaportAI.com to apply for this position.,

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Deep Learning Engineer