MLOps Engineer

TL;DR

MLOps Engineer (Cloud/Kubeflow): Designing and implementing automated CI/CD/CT pipelines for the end-to-end ML lifecycle with an accent on hybrid-cloud orchestration and pipeline automation. Focus on architecting high-scale messaging triggers, managing GKE/AKS clusters, and eliminating manual intervention in model deployment.

Location: Remote (WFH)

Company

hirify.global is a technology firm specializing in scalable ML infrastructure and automation solutions.

What you will do

• Design and implement robust CI/CD/CT pipelines using Kubeflow to automate the full ML lifecycle.
• Architect real-time and batch data triggers utilizing GCP Pub/Sub and Azure Event Hubs to initiate pipeline runs.
• Manage scalable ML clusters on GCP (GKE) and Azure (AKS) to ensure high availability and optimal resource usage.
• Maintain environment parity between GCP and Azure to ensure seamless model portability and scaling.
• Build automated quality and performance gates to remove manual intervention from the deployment process.

Requirements

• 3+ years of professional experience in MLOps or a similar infrastructure role.
• Expertise in pipeline automation and CI/CD/CT using Kubeflow.
• Hands-on experience with GCP (GKE, Pub/Sub) and Azure (AKS, Event Hubs).
• Proven ability to handle hybrid-cloud orchestration and infrastructure management.
• Strong aptitude for debugging non-deterministic outputs and complex problem solving.
• Ability to create clear and comprehensive technical documentation for system architecture.

Nice to have

• Agile mindset and experience working in agile environments.

Culture & Benefits

• Flexible Work From Home (WFH) arrangement.