Senior Machine Learning Engineer

About

Become integral to AI advancements as a Senior Machine Learning Engineer. You will lead the creation of robust, scalable infrastructure essential for processing heavy workloads in dental applications.

In this role, you will bridge the gap between theoretical models and real-world applications. With over 5 years of experience in ML Infrastructure or MLOps, you’ll optimize GPU resources and develop fault-tolerant architectures. Your expertise in Docker and CI/CD pipeline design will ensure efficient service delivery and maintenance.

Responsibilities

• Transform research models into robust production services
• Architect GPU-based job orchestration for performance
• Create reproducible Docker environments for deployment
• Build automated CI/CD systems for updates
• Implement logging and monitoring for reliability

Requirements

• 5+ years in ML Infrastructure or MLOps
• Proven experience deploying ML models in live systems
• Solid knowledge of Docker and GPU optimization
• Familiarity with asynchronous job management
• Backend API integration experience is a plus

Lead the charge in creating scalable infrastructures that enhance AI capabilities and support the needs of practitioners in modern dentistry.