Deep Learning Engineer - Healthcare AI

SeaportAI is redefining how businesses harness AI, transforming Fraud Risk AI and Generative AI from buzzwords into powerful, results-driven solutions. With domain expertise at its core, SeaportAI turns AI into a strategic asset that delivers measurable impact, not just proof of concept experiments.

Job Details- Job Details Full-time | Hybrid/Remote Deep Learning Engineer Healthcare AI (0 5 Years) 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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