Position Details
About this role
This role involves creating and deploying ML and AI models within a SaaS environment, supporting healthcare data solutions with cutting-edge AI techniques.
Key Responsibilities
- Build scalable ML models
- Deploy and monitor models
- Define ML approaches
- Automate deployments
- Optimize models for production
Technical Overview
The position requires expertise in Python-based ML frameworks, model deployment, MLOps, and cloud platforms like AWS SageMaker, with a focus on scalable AI solutions.
Ideal Candidate
The ideal candidate is a mid-level Machine Learning Engineer with at least 2 years of experience in developing, deploying, and monitoring ML models using frameworks like PyTorch and TensorFlow, with strong Python skills and familiarity with MLOps practices.
Must-Have Skills
Nice-to-Have Skills
Tools & Platforms
Required Skills
Hard Skills
Soft Skills
Industry & Role
Keywords for Your Resume
Deal Breakers
Less than 2 years ML experience, Lack of Python proficiency, No experience with ML frameworks or deployment tools, Location outside Taipei
Get matched to jobs like this
Luna finds roles that fit your skills and career goals — no endless scrolling required.
Create a Free Profile