CereCore ยท 3 days ago
Staff MLOps Engineer / Consulting Level
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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
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Required
Proven experience in ML Ops, with a focus on GCP.
Strong proficiency in Terraform for infrastructure as code.
Hands-on experience with Vertex AI for ML workflows.
Expertise in CI/CD practices and tools, particularly GitHub workflows.
Solid understanding of containerization and orchestration technologies (e.g., Docker, Kubernetes).
Company
CereCore
CereCore has implemented EHR systems in more than 300 facilities and offers staffing and remote support services for major EHR acute.
Funding
Current Stage
Late StageRecent News
Healthcare IT News
2024-12-04
Healthcare IT News
2024-11-24
The Business Journals
2024-04-07
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