Senior MLOps Engineer (AI)

TL;DR

Senior MLOps Engineer (AI): Building and maintaining scalable AI infrastructure and deployment pipelines with an accent on Kubeflow, Spark, and Kubernetes orchestration. Focus on creating self-service developer tools and standardizing production-grade ML workflows to empower distributed data science teams.

Location: Must be based in Brazil

Company

hirify.global is a global workplace wellness platform connecting employees to fitness, mindfulness, and nutrition partners through a unified subscription model.

What you will do

• Evolve and maintain core ML infrastructure including Kubeflow, Feast, and Spark-on-Kubernetes.
• Design internal tools and APIs to transition teams toward self-service ML excellence.
• Collaborate with Data Science squads to implement CI/CD, versioning, and testing for ML workflows.
• Define lifecycle requirements for LLMOps to ensure frictionless deployment from experimentation to production.
• Partner with Infrastructure and Data teams to integrate ML artifacts into global governance and data catalog frameworks.

Requirements

• Must be based in Brazil
• Deep experience with DevOps applied to ML/AI, including CI/CD, Infrastructure as Code (Terraform/Crossplane), and observability.
• Hands-on mastery of Kubeflow, Spark, Kubernetes, and the AWS ecosystem.
• Strong Python skills focused on building reusable libraries and tooling abstractions.
• Ability to partner with cross-functional teams to translate complex use cases into scalable solutions.

Culture & Benefits

• Flexible work model with home office reimbursement.
• Free Gold+ hirify.global membership for employees and up to three family members.
• Comprehensive health, dental, and life insurance.
• Emotional wellbeing program including 52 individual therapy sessions per year.
• Generous paid time off including tenure-based vacation and birthday leave.
• 100% paid parental leave with ramp-back options.