MLOps Engineer

Corporate wellness platform connecting employees to fitness, mindfulness, therapy, nutrition, and sleep partners through a single subscription.
$120,000 - $180,000
Machine Learning
Mid-Level Software Engineer
Hybrid
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. 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 company, headquartered in NYC with teams across 11 countries, has evolved from a gym pass provider to a comprehensive corporate wellness platform. They connect employees to various wellness partners, including fitness, mindfulness, therapy, nutrition, and sleep services, all through one cost-effective subscription.

The ideal candidate will have strong expertise in ML frameworks, containerization, and infrastructure automation. You'll work in a cloud-based environment, tackling large-scale production challenges using modern software engineering principles. The role offers flexibility in work arrangement (hybrid or remote) and emphasizes work-life balance.

This position offers comprehensive benefits including health insurance, flexible work arrangements, wellness program access, and career growth opportunities. Wellhub maintains a strong commitment to diversity, equity, and belonging, fostering an inclusive environment where all employees can thrive while contributing to the company's mission of making every company a wellness company.

Last updated 2 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 through engineering excellence and automation in MLOps
  • Collaborate with Data Scientists to understand needs and build effective MLOps solutions
  • Design and scale Machine Learning frameworks and MLOps practices across teams

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)
  • Experience with monitoring tools like Prometheus, Grafana, or CloudWatch
  • Strong communication skills in English and Portuguese

Benefits For MLOps Engineer

Medical Insurance
Dental Insurance
Parental Leave
Mental Health Assistance
  • Health insurance
  • Dental insurance
  • Life insurance
  • Flexible work options (hybrid or remote)
  • Home office stipend
  • Monthly flexible work allowance
  • Flexible working hours
  • Access to fitness and wellness programs
  • Paid time off
  • Paid parental leave
  • Career growth opportunities
  • Birthday day off

Interested in this job?

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