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

Apply Now

Interested in this role? Send your resume to [email protected]

📌 Deep Learning Engineer (India)
🏢 Seaportai
📍 India