Senior MLOps Engineer

Job not on LinkedIn

🕒 June 13

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Logo of Gympass

Gympass

1001 - 5000 employees

Founded 2012

🏥 Healthcare

🧘 Wellness

☁️ SaaS

💰 $5.4M Venture Round on 2021-12

Healthcare • Wellness • SaaS

Gympass is a comprehensive corporate wellness platform that connects employees with a variety of fitness, mindfulness, nutrition, and sleep resources through flexible and cost-effective subscription plans. Offering access to a vast network of gyms, studios, virtual personal trainers, and wellness apps, Gympass is designed to enhance employee wellbeing and improve productivity, retention, and healthcare cost outcomes for businesses. By enabling companies to provide holistic wellness options, Gympass fosters healthier workplace environments and supports employees in maintaining balanced lifestyles both at work and at home.

📋 Description

• Evolve and maintain our Kubeflow, Feast and Spark-on-Kubernetes infrastructure, ensuring it can handle the increasing complexity of both traditional ML and the new wave of AI. • Design the internal tools, APIs, and abstractions that empower distributed teams to own their entire lifecycle—transitioning our data culture from "centralised bottleneck" to "self-service excellence." • Collaborate with embedded Data Science teams to adapt software engineering best practices (CI/CD, versioning, testing) to ML-specific workflows, raising the bar for production-grade AI across the company. • Drive MLOps best practices and define the specific lifecycle requirements for LLMOps, ensuring a frictionless journey from experimental notebooks to robust, production-grade solutions by providing top-notch deployment frameworks and automation. • Partner closely with our Infrastructure and Data squads to break silos and integrate ML artifacts into our global Data Catalog, Privacy, and Governance frameworks. • Inspire and empower others by genuinely caring for your own wellbeing and your colleagues.

🎯 Requirements

• Deep experience with CI/CD, Infrastructure as Code (Terraform/Crossplane), and Observability. • Hands-on mastery of the Kubeflow platform, Spark engine, AWS ecosystem and Kubernetes. • Strong Python skills, focused on building reusable libraries, APIs, and tooling abstractions. • Ability to partner with Data Science teams to translate complex use cases into scalable "paved road" solutions.

🏖️ Benefits

• Free Gold+ membership with access to onsite gyms and studios, digital fitness programs, and online wellness resources for meditation, nutrition, mental wellbeing support, and more! • A complete emotional wellbeing program with a unique approach. • Health, dental, and life insurance. • As a Flexible First company, we offer hybrid and remote options. • Flexibility for us isn’t just about where we work—it also means being able to shape how and when we get things done. • Employees receive vacations after 6 months and additional 3 days off per year + 1 day off for each year of tenure (up to 5 additional days) + an extra holiday for your birthday! • We offer 100% paid parental leave to all new parents. Parents giving birth are eligible for an extended leave and a ramp-back period to return part-time while they get settled. • Access world-class platforms, participate in interactive sessions, build your personalized development roadmap, and explore internal opportunities.

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