
Job Overview
Location
Brazil (Remote)
Job Type
Full-time
Category
Software Engineering
Date Posted
April 14, 2026
Full Job Description
đź“‹ Description
- • Senior AI Platform Engineer role focused on building and scaling the AI infrastructure that enables hundreds of engineers and data scientists to develop and deploy AI at scale within Wellhub’s Data Solutions team.
- • Day-to-day responsibilities include evolving and maintaining Kubeflow, Feast, and Spark-on-Kubernetes infrastructure; designing internal tools and APIs for self-service ML workflows; collaborating with Data Science teams to implement CI/CD, testing, and versioning for ML workflows; driving MLOps and LLMOps best practices; and partnering with Infrastructure and Data squads to integrate ML artifacts into global Data Catalog, Privacy, and Governance frameworks.
- • Wellhub is a global workplace wellness platform headquartered in NYC with teams across Europe, North America, and South America, dedicated to making every company a wellness company by connecting employees to fitness, mindfulness, therapy, nutrition, and sleep resources through a unified subscription.
- • In this role, you will deepen your expertise in ML platform engineering, shape the future of AI infrastructure at scale, influence cross-functional engineering practices, and contribute to a mission-driven culture that prioritizes wellbeing, innovation, and inclusive collaboration.
Skills & Technologies
About GPASS US CORP
GPASS US CORP operates Gympass, a corporate wellness platform that partners with gyms, studios, and fitness apps to give employees flexible access to physical activity and mental wellness services. Founded in Brazil in 2012 and now headquartered in New York, the company aggregates thousands of fitness and wellness venues worldwide into a single subscription model offered through employers, aiming to improve workforce health and reduce healthcare costs.
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