AI Platform Engineer

We're hiring an AI Platform Engineer to support our team in deploying and maintaining a robust AI platform that powers innovative solutions across our organization. In this role, you will be responsible for managing the deployment and configuration of AI platform components, enabling smooth model serving, and orchestrating services within our existing architecture.

Requirements

• 4-6 years of relevant professional experience in AI platform engineering, MLOps, or equivalent engineering roles supporting production AI systems
• Proven expertise in deploying machine learning models, configuring environments, service integration, and conducting operational troubleshooting
• Familiarity with MLOps tools such as MLflow or Kubeflow for managing the ML lifecycle and orchestrating workflows with tools like Apache Airflow
• Solid understanding of containerization technologies (such as Docker and Kubernetes) and cloud platforms (AWS, Google Cloud, or Azure) for deploying AI solutions
• Strong ability to coordinate efforts across data, backend, and platform environments, and effectively communicate technical concepts to non-technical stakeholders

Benefits

• Generous Paid Time Off
• 401k Matching