Senior Machine Learning Operations Engineer - Computer Vision - Remote

Overview

Dandy is transforming the massive and antiquated dental industry—an industry worth over $200B. Backed by some of the world’s leading venture capital firms, we’re on an ambitious mission to simplify and modernize every function of the dental practice through technology. As we expand our reach globally, Dandy is building the operating system for dental offices around the world—empowering clinicians and their teams with technology, innovation, and world-class support to achieve more for their practices, their people, and their patients.

In Short

• We are hiring a Senior MLOps engineer to join our rapidly growing Machine Learning team.
• You will play a key role in the success of our team and company.
• Constantly challenged to learn new technologies and establish best practices.
• Developing the ML platform to create state-of-the-art machine learning models.
• Design and implement MLOps pipelines for dataset curation and model deployment.
• Manage and optimize cloud-based infrastructure for ML workloads.
• Collaborate with ML engineers and stakeholders for quality assurance.
• Ensure compliance with data security and privacy regulations.
• Develop automation strategies for model training and evaluation.
• Utilize GCP tools for monitoring model performance and operational metrics.

Requirements

• 5+ years of software experience and 3+ years MLOps engineering experience.
• 1+ years of experience with machine learning model training and evaluation.
• Hands-on experience with ML model performance optimization and monitoring.
• Experience with cloud platforms like AWS, GCP, or Azure.
• Familiarity with ML frameworks like TensorFlow and PyTorch.
• Experience with CI/CD pipelines and best practices.
• Familiarity with containerization tools like Docker and Kubernetes.
• Comfort in a highly agile, iterative software development process.
• Self-motivated with excellent organizational skills.
• Ability to thrive in a remote-first organization.

Benefits

• Comprehensive and inclusive benefits tailored to each country.
• Healthcare, dental, and mental health support.
• Parental planning resources and retirement savings options.
• Generous paid time off.
• Support for team members no matter where they live and work.