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Wellhub

Corporate fitness and wellness subscription platform

Senior MLOps Engineer

Applied Machine LearningPosted on Nov 11
Full-timeRemote in BrazilNo salary listed

About the Job

Requirements

  • Deep experience applying DevOps practices to ML/AI, including continuous integration and continuous delivery, Infrastructure as Code using Terraform or Crossplane, and observability.
  • Hands-on mastery of Kubeflow, Spark, AWS, and Kubernetes.
  • Strong Python skills for building reusable libraries, APIs, and tooling abstractions.
  • Ability to partner with Data Science teams to translate complex use cases into scalable paved-road solutions.
  • A platform-as-a-product mindset, with focus on developer experience and continuous feedback loops.
  • Ability to balance distributed team autonomy with global platform standards.
  • Ability to prioritize robust, scalable production solutions while staying current with emerging concepts and practices.
  • Ability to understand how ML infrastructure integrates with broader data cataloging and governance.

Responsibilities

  • Evolve and maintain Kubeflow, Feast, and Spark-on-Kubernetes infrastructure to support increasing complexity in traditional machine learning and artificial intelligence.
  • Design internal tools, APIs, and abstractions that enable distributed teams to own their full lifecycle and support self-service workflows.
  • Collaborate with embedded Data Science teams to adapt software engineering best practices, including continuous integration and continuous delivery, versioning, and testing, to ML-specific workflows.
  • Drive MLOps best practices and define lifecycle requirements for LLMOps, providing deployment frameworks and automation from experimental notebooks to production-grade solutions.
  • Partner with Infrastructure and Data squads to integrate ML artifacts into global Data Catalog, Privacy, and Governance frameworks.
  • Help create a supportive environment that promotes personal and colleague wellbeing.

About the Company

Wellhub

Corporate fitness and wellness subscription platform

Wellhub offers a subscription-based fitness and wellness platform that gives members access to a broad network of gyms, studios, live online classes, wellness apps, and virtual personal training, designed for corporate employee benefits programs. Users pick a tiered plan (Starter to Diamond) with monthly fees that scale by access level, and employers may subsidize or cover costs. Revenue comes from subscriptions and corporate partnerships that fund employee memberships. Wellhub differentiates itself by combining a large, flexible network with tailored employer-based benefits, making it easier for organizations to customize plans to fit different budgets and health goals with the aim of helping people stay healthier through convenient access.

Company size
1,001-5,000
Company stage
Series F
Total funding
$795M
Headquarters
New York City, New York
Founded
2012

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