Overview
Remote
Depends on Experience
Contract - W2
Contract - Independent
Contract - 12 Month(s)
No Travel Required
Skills
Data Science
Data Lake
Databricks
Artificial Intelligence
Machine Learning (ML)
Kubernetes
JIRA
GitHub
Google Cloud
Google Cloud Platform
DevOps
Machine Learning Operations (ML Ops)
Job Details
Role: ML Ops Engineer
Duration: 12 Months
Location: Remote (Pleasanton CA)
Note: Only PST time zone Candidates will consider, don t share the resume from any other time zone
Job description:
- Support and maintain ML pipelines, workflows, and deployments on Google Machine Learning and related Google services.
- Monitor production ML models for performance, accuracy, and data drift, initiating retraining or fixes as needed.
- Troubleshoot issues in Google ML environments, including compute, storage, networking, and service integrations.
- Manage and optimize Azure resources such as Data Lake, Blob Storage, Kubernetes Service (AKS), and Databricks for ML workloads.
- Implement CI/CD pipelines for ML model deployment using Google DevOps, GitHub Actions, or similar tools.
- Ensure adherence to data security, compliance, and governance policies within Google s environment.
- Collaborate with data scientists, data engineers, and developers to resolve operational bottlenecks.
- Document operational procedures, incident resolutions, and best practices for ML Ops support.
- AI platform, Atlassian Jira, Google Cloud Platform DevOps, Google Gemini, Google Vertex AI,IT management, IT projects, MLOps, agile project management, agile project management tool, artificial intelligence, business administration, business analysis, business organization, computer science, data science, information technology, machine learning, management, mathematics, project management, science & research, software product management, statistics, technology.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.