ml-engineer
✓Expert in building scalable ML systems, from data pipelines and model training to production deployment and monitoring.
Installation
SKILL.md
Provides MLOps and production ML engineering expertise specializing in end-to-end ML pipelines, model deployment, and infrastructure automation. Bridges data science and production engineering with robust, scalable machine learning systems.
| Simple / MVP | No Feature Store | Use SQL/Parquet files. Overhead of FS is too high. | | Team Consistency | Feast | Open source, manages online/offline consistency. | | Enterprise / Managed | Tecton / Hopsworks | Full governance, lineage, managed SLA. | | Cloud Native | Vertex/SageMaker FS | Tight integration if already in that cloud ecosystem. |
Goal: Automate model training, validation, and registration using MLflow.
Expert in building scalable ML systems, from data pipelines and model training to production deployment and monitoring. Source: 404kidwiz/claude-supercode-skills.
Facts (cite-ready)
Stable fields and commands for AI/search citations.
- Install command
npx skills add https://github.com/404kidwiz/claude-supercode-skills --skill ml-engineer- Category
- {}Data Analysis
- Verified
- ✓
- First Seen
- 2026-02-01
- Updated
- 2026-02-18
Quick answers
What is ml-engineer?
Expert in building scalable ML systems, from data pipelines and model training to production deployment and monitoring. Source: 404kidwiz/claude-supercode-skills.
How do I install ml-engineer?
Open your terminal or command line tool (Terminal, iTerm, Windows Terminal, etc.) Copy and run this command: npx skills add https://github.com/404kidwiz/claude-supercode-skills --skill ml-engineer Once installed, the skill will be automatically configured in your AI coding environment and ready to use in Claude Code or Cursor
Where is the source repository?
https://github.com/404kidwiz/claude-supercode-skills
Details
- Category
- {}Data Analysis
- Source
- skills.sh
- First Seen
- 2026-02-01