Deep Learning Engineer

Job Description

Job Description (JD) – Deep Learning Engineer (Healthcare AI) | SeaportAI
Company

SeaportAI (based on the job posting) develops AI-driven healthcare solutions focused on medical imaging, diagnostics, and predictive healthcare analytics.

Job Title

Deep Learning Engineer (Healthcare AI)

Employment Type
Full-time
Work Mode
Hybrid / Remote
Job Summary

SeaportAI is looking for a Deep Learning Engineer to design, develop, and deploy AI models for healthcare applications. The role involves building deep learning models for medical imaging, diagnostics, and predictive analytics while collaborating with clinicians, product teams, and data scientists.

Candidates should have strong expertise in deep learning frameworks, Python programming, healthcare data processing, and basic MLOps practices.

Key Responsibilities
Deep Learning Model Development
Design and train deep learning models.
Build AI solutions for:
Medical Imaging
Disease Diagnostics
Predictive Healthcare Analytics
Develop production-ready deep learning models.
Healthcare AI Development
Process and analyze:
Medical Images (DICOM)
Electronic Health Records (EHR)
Time-series healthcare data
Develop AI solutions for clinical decision support.
Cross-functional Collaboration
Collaborate with:
Clinicians
Product Teams
Data Scientists
Translate healthcare problems into AI-driven solutions.
Regulatory Compliance
Work with sensitive healthcare data.
Ensure compliance with:
HIPAA
GDPR
Follow healthcare data privacy and security standards.
MLOps & Deployment
Contribute to ML deployment pipelines.
Optimize inference performance.
Support production deployment.
Monitor deployed model performance.
Required Technical Skills
Deep Learning Frameworks
PyTorch
TensorFlow
Programming
Python
NumPy
Pandas
Scikit-learn
Deep Learning Models

Experience developing:

Convolutional Neural Networks (CNNs)
Recurrent Neural Networks (RNNs)
Transformers
Self-Supervised Learning models
Healthcare Data

Experience working with one or more:

DICOM Medical Images
Electronic Health Records (EHR)
Time-Series Healthcare Signals
MLOps

Knowledge of:

Model Versioning
ONNX
Docker
Model Deployment
Performance Monitoring
Soft Skills
Strong analytical thinking
Problem-solving mindset
Ability to work with noisy and resource-constrained datasets
Team collaboration
Communication skills
Bonus Skills

Candidates with any of the following will have an advantage:

ICD Coding standards
HL7 Healthcare Standard
Healthcare AI project experience
Kaggle competitions (Healthcare/Medical AI)
Medical data processing experience
Preferred Domain Knowledge
Medical Imaging
Healthcare AI
Clinical Diagnostics
Predictive Analytics
Electronic Health Records
Digital Health
AI-assisted Clinical Decision Support
Ideal Candidate Profile

The ideal candidate should have expertise in:

Deep Learning
PyTorch or TensorFlow
Python
CNNs, RNNs, Transformers
Healthcare datasets
Medical image analysis
MLOps fundamentals
AI model deployment
Healthcare compliance (HIPAA/GDPR)
Application

Interested candidates can send their updated resume to:

Email: info@seaportAI.com