onsite
AI Engineer - Ro
AI Engineer
Develop and deploy AI models that power a next‑generation digital health platform, leveraging Python, machine learning frameworks, and cloud infrastructure to improve patient outcomes and streamline telehealth services.
About the role
Key Responsibilities
- Design, implement, and optimize machine‑learning models for diagnostics, treatment recommendation, and patient engagement.
- Integrate AI solutions into a vertically integrated healthcare platform that includes telehealth, pharmacy, and logistics components.
- Collaborate with product, data, and engineering teams to translate clinical needs into scalable AI services.
- Deploy and monitor models in production using cloud services, ensuring reliability, security, and compliance with healthcare regulations.
- Continuously evaluate emerging AI technologies and incorporate best practices to maintain state‑of‑the‑art performance.
Requirements
- Strong proficiency in Python and experience with ML/DL libraries such as TensorFlow or PyTorch.
- Hands‑on experience building, training, and deploying models in a cloud environment (e.g., AWS).
- Solid understanding of data pipelines, feature engineering, and model evaluation metrics.
- Background in healthcare or related domains is a plus, with an ability to work with clinical data securely.
- Excellent problem‑solving skills and ability to work cross‑functionally in an agile environment.
Skills
pythonmachine learningdeep learningtensorflowaws