Senior Machine Learning Engineer - job 2 of 12

Job Summary

A company is looking for a Senior Machine Learning Engineer to deploy and manage machine learning models at scale.

Key Responsibilities

• Deploy, monitor, and manage ML models using KServe on Kubernetes
• Build and maintain Kubernetes clusters (GKE) for scalable model serving
• Develop, automate, and maintain ML workflows using Kubeflow Pipelines

Required Qualifications

• Hands-on experience with KServe, Kubernetes, and Docker
• Strong proficiency in Java and Spring Boot
• Experience with GCP (especially GKE) and Kubeflow Pipelines
• Understanding of model performance management and real-time systems
• Bachelor's or Master's degree in Computer Science, Engineering, or a related field