Deep Learning Engineer

Job Description

Deep Learning / Healthcare AI Engineer

Job Type: Full-time
Work Mode: Hybrid / Remote
Domain: Healthcare AI / Medical Imaging / Predictive Analytics

Required Skills

Deep Learning

PyTorch or TensorFlow
CNNs
RNNs
Transformers
Self-supervised learning

Programming & Data Science

Strong Python
NumPy
Pandas
Scikit-learn

Healthcare Data

Medical imaging, including DICOM
EHR / tabular healthcare data
Time-series medical signals

MLOps

Model versioning
Model deployment
ONNX
Docker
Production performance monitoring
Key Responsibilities
Design and train deep-learning models for medical imaging, diagnostics and predictive healthcare analytics.
Work with clinicians, product teams and data scientists to convert healthcare problems into practical AI solutions.
Process real-world healthcare datasets including images, EHR and time-series signals.
Ensure appropriate regulatory compliance, including HIPAA/GDPR requirements.
Contribute to model deployment pipelines.
Optimize models for reliable production performance.
Bonus Skills
ICD codes
HL7 healthcare standards
Kaggle experience
Healthcare AI competitions
Best-Fit Profile

This opportunity is well suited to a Deep Learning Engineer / ML Engineer / Healthcare AI Engineer with strong Python and PyTorch/TensorFlow experience, particularly someone who has worked with medical imaging, EHR or healthcare time-series data and has some practical MLOps/deployment exposure.

Apply: info@seaportAI.com