MLOps Engineer

Corporate wellness platform connecting employees to fitness, mindfulness, therapy, nutrition, and sleep partners through a single subscription.
$80,000 - $140,000
Machine Learning
Mid-Level Software Engineer
Flexible
1,000 - 5,000 Employees
3+ years of experience
Healthcare · Enterprise SaaS

Description For MLOps Engineer

Wellhub (formerly Gympass) is seeking an MLOps Engineer to join their Data Solutions team in Portugal. As part of the Product Development division, you'll be instrumental in building foundations for scalable, high-performance data and machine learning solutions. The role focuses on empowering Data Scientists with a world-class platform for ML model development, deployment, and management.

The position offers a unique opportunity to work with cutting-edge technologies in a cloud-based infrastructure, tackling large-scale production challenges using software engineering principles. You'll be responsible for standardizing ML frameworks, ensuring performance and scalability, and driving engineering excellence in MLOps.

Wellhub is a corporate wellness platform that has evolved from a gym pass provider to a comprehensive employee wellbeing solution. Founded in 2012 and headquartered in NYC, the company has a growing global presence across 11 countries. The company culture strongly emphasizes work-life balance and employee wellbeing, offering flexible work arrangements and comprehensive benefits.

The ideal candidate should have expertise in Machine Learning frameworks, containerization experience, and strong skills in both English and Portuguese. You'll work in a diverse, inclusive environment that values personal growth and professional development. The role offers the opportunity to make a significant impact on the company's mission of making every company a wellness company.

This position combines technical expertise with the chance to contribute to meaningful solutions in the corporate wellness space, making it ideal for someone passionate about MLOps, infrastructure, and enabling AI at scale while working in a company that genuinely cares about employee wellbeing.

Last updated 5 days ago

Responsibilities For MLOps Engineer

  • Empower Data Science teams by providing a scalable, reliable ML platform
  • Standardize ML frameworks and best practices
  • Ensure performance, scalability, and reliability in MLOps
  • Collaborate with Data Scientists to understand needs and build MLOps solutions
  • Design and scale Machine Learning frameworks and MLOps practices

Requirements For MLOps Engineer

Python
Kubernetes
  • Bachelor's degree in computer science or equivalent professional experience
  • Expertise in Machine/Deep Learning frameworks (TensorFlow, PyTorch, Scikit-learn)
  • Experience with containerization (Docker, Kubernetes)
  • Familiarity with CI/CD, Infrastructure as Code (IaC)
  • Strong communication skills in English and Portuguese
  • Experience in machine learning ops and deploying models (mandatory)

Benefits For MLOps Engineer

Medical Insurance
Parental Leave
Mental Health Assistance
  • Gold plan Wellhub membership
  • Additional fitness subsidy
  • Flexible work options (hybrid or remote)
  • Home office stipend
  • Monthly flexible work allowance
  • 25+ days paid holiday
  • Birthday holiday
  • 100% paid parental leave
  • Extended maternity leave
  • Career development opportunities

Interested in this job?

Jobs Related To Wellhub MLOps Engineer

MLOps Engineer

MLOps Engineer position at Wellhub, building and scaling ML platforms and infrastructure for a leading corporate wellness company.

Software Engineer | GenAI

Wellhub is hiring a Software Engineer for their GenAI team in Brazil to work on generative AI, Retrieval-Augmented Generation (RAG), and API integrations.

Software Engineer | GenAI

Software Engineer position for GenAI team at Wellhub, focusing on generative AI, RAG, and API integrations.

Software Engineer | GenAI

Join Wellhub as a Software Engineer specializing in GenAI. Work on cutting-edge AI technologies to enhance corporate wellness solutions. Remote position based in Brazil.

Cloud Support Engineer (Big Data / AI ML), Support Engineering

Cloud Support Engineer role at AWS focusing on Big Data and AI/ML, offering hybrid work in New Zealand with opportunities for growth and learning.