Staff Software Engineer, Model Development Lifecycle

About the role

A senior engineering role on a team that builds a platform covering the whole machine learning journey, from training models to deploying and managing them at enterprise scale.

At a glance

• PayNot stated in the posting
• Remote scopeRemote, Argentina
• Posted7 Oct 2026
• Last checked18 Oct 2026

What you will do

• Work with customers to shape ways of deploying models to cloud platforms such as AWS SageMaker and Azure ML
• Help create a catalog for finding and summarising data science resources across the platform
• Add model monitoring so teams get a full picture of deployment health and performance
• Improve tagging across platform entities so resources are easier to find and track
• Extend hosting for large language models to meet customer needs around scale, performance and logging

What they look for

• At least eight years as an individual contributor in software engineering
• Deep experience designing, building and deploying AI or machine learning models
• Solid grasp of model training, optimisation and lifecycle management
• Ability to build scalable systems using modern frameworks and platforms
• Skill at applying advanced algorithms to complex problems in varied domains