Overview
Hybrid
Depends on Experience
Contract - W2
Contract - 9 Month(s)
Skills
Documentation
Cloud Computing
Collaboration
Continuous Delivery
Continuous Integration
Dashboard
Environment Management
Evaluation
GitHub
Jenkins
Machine Learning (ML)
Scalability
Workflow
Job Details
- Pipeline Development: Implement, optimize, and maintain CI/CD pipelines for ML systems, including integrations with GitHub workflows and Jenkins.
- Collaboration: Partner with data scientists, frontend engineers, and platform teams to deliver seamless integration of ML models into core evaluation platforms.
- Environment Management: Administer ML development/production environments using cloud-native solutions; optimize for scalability, reliability, and cost.
- Tooling and Automation: Evaluate, build, and deploy automation tools to streamline the end-to-end ML lifecycle.
- Quality & Monitoring: Enhance and develop quality evaluation features and ensure robust monitoring via dashboards and automated alerts.
- Documentation & Best Practices: Champion engineering best practices, promote code quality, and document workflows, tools, and processes for effective team adoption.
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.