Machine Learning Engineer (Platform)

About this role

Artera seeks a Machine Learning Engineer to build scalable infrastructure for training, evaluating, and deploying AI models used in cancer treatment personalization. You'll collaborate with model developers and platform engineers to create efficient pipelines that support large-scale medical AI operations.

What you'll do

• Design and implement scalable machine learning pipelines for model training and evaluation
• Develop data processing infrastructure to support AI model development
• Optimize models for production deployment and performance
• Collaborate with AI model developers to understand pipeline requirements
• Work with platform engineering team to ensure system reliability and efficiency
• Support large-scale training operations and model evaluation workflows

What they're looking for

• Machine learning infrastructure and MLOps
• Data pipeline development
• Model optimization and deployment
• Python or similar programming languages
• Cloud platforms (AWS, GCP, or Azure)
• Distributed systems and scalability
• Software engineering best practices
• Healthcare or regulated industry experience (preferred)