Wellhub
wellness
SeniorAIPlatformEngineer
“Senior AI Platform Engineer at Wellhub. Skills: AI Platform Engineering, MLOps, Cloud-native infrastructure, Scalable Infrastructure, ML/AI orchestration. Evolve and maintain our Kubeflow, Feast and Spark-on-Kubernetes infrastructure. Design the internal tools, APIs, and abstractions that empower distributed teams to own their entire lifecycle”
What You'll Achieve.
creating a seamless and high-performance environment for the next generation of AI-driven products; build a world-class platform that serves millions of users worldwide; raising the bar for production-grade AI across the company; ensuring a frictionless journey from experimental notebooks to robust, production-grade solutions
Industry & Context.
Systems Thinker
What They're Looking For.
Must Have
Python skills, focused on building reusable libraries, APIs, and tooling abstractions, 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, Ability to partner with Data Science teams to translate complex use cases into scalable "paved road" solutions
Nice to Have
Kubernetes a plus
What You'll Do.
Evolve and maintain our Kubeflow
Feast and Spark-on-Kubernetes infrastructure
Design the internal tools
and abstractions that empower distributed teams to own their entire lifecycle
Collaborate with embedded Data Science teams to adapt software engineering best practices to ML-specific workflows
Drive MLOps best practices and define the specific lifecycle requirements for LLMOps
Partner closely with our Infrastructure and Data squads to break silos and integrate ML artifacts into our global Data Catalog
and Governance frameworks
How You'll Work.
Team & Collaboration
Collaborate with embedded Data Science teams; Partner closely with our Infrastructure and Data squads; Cross-Squad Collaboration
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