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
Location: Chennai
