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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