CereCore · 2 days ago

Staff MLOps Engineer / Consulting Level

United States

Full-time

Remote

Lead/Staff

Maximize your interview chances

ConsultingInformation Services

Growth Opportunities

Insider Connection @CereCore

Discover valuable connections within the company who might provide insights and potential referrals.
Get 3x more responses when you reach out via email instead of LinkedIn.

Responsibilities

Infrastructure Design and Maintenance: Design, build, and maintain scalable ML infrastructure on GCP.

Infrastructure as Code: Develop and manage infrastructure as code using Terraform.

ML Workflow Optimization: Implement and optimize ML workflows using Vertex AI.

CI/CD Pipelines: Create and maintain CI/CD pipelines using GitHub workflows.

Collaboration: Work closely with cross-functional teams to understand requirements and deliver solutions.

System Monitoring and Troubleshooting: Monitor and troubleshoot ML systems to ensure high availability and performance.

Continuous Learning: Stay up to date with the latest industry trends and best practices in ML Ops and cloud technologies.

Qualification

Find out how your skills align with this job's requirements. If anything seems off, you can easily click on the tags to select or unselect skills to reflect your actual expertise.

GCPTerraformVertex AICI/CD PracticesDockerKubernetes