Senior Ml Engineer

alirezarezvani/claude-skills/engineering-team/skills/senior-ml-engineer

by alirezarezvani19392f7a0826No license27K starsListed Oct 8, 2026Updated Oct 8, 2026Repository updated 5 weeks ago

ML engineering skill for productionizing models, building MLOps pipelines, and integrating LLMs. Covers model deployment, feature stores, drift monitoring, RAG systems, and cost optimization. Use when the user asks about deploying ML models to production, setting up MLOps infrastructure (MLflow, Kubeflow, Kubernetes, Docker), monitoring model performance or drift, building RAG pipelines, or integrating LLM APIs with retry logic and cost controls. Focused on production and operational concerns rather than model research or initial training.

Add to a SourceWeft workspace

  1. Open the skill in your dashboard and add it to a workspace.
  2. Enable it for the chats that should use it.

This skill includes scripts. They run in your workspace sandbox when the skill is used — review the file list and source before adding it.

Add to SourceWeft

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Ask your agent to install it

Paste this prompt into Claude Code, Codex, Cursor or another agent that can run commands — or into SourceWeft chat. The agent reads this skill's install guide, shows you its source, license and scripts, and installs it with the SourceWeft CLI once you agree.

Read https://sourceweft.com/skills/gh-alirezarezvani-claude-skills-senior-ml-engineer/install.md and install the skill it describes. Before installing, show me its source, license and whether it ships scripts, and wait for my OK. Ask me before changing anything else on my machine.

Read the install guide the agent follows

Install it yourself from a terminal

For Claude Code, Codex, Cursor and other local agents. The SourceWeft CLI fetches the skill from its source repository at the commit scanned here, and verifies every file against the hashes recorded when the skill was scanned. If anything differs, nothing is written.

npx @sourceweft/cli skills install @alirezarezvani/senior-ml-engineer

Add --agent claude-code, codex, cursor or universal to choose which agent gets it (Claude Code by default).

Installed locally, this skill's scripts run on your machine, not in a sandbox. Read them first — the CLI asks before installing.

Upstream installer — not verified by SourceWeft

The open-source skills installer fetches the same pinned commit, but does not check the files against the hashes SourceWeft recorded.

npx skills add https://github.com/alirezarezvani/claude-skills/tree/19392f7a08264ed00486a251f5b2098321771f94/engineering-team/skills/senior-ml-engineer

Source and attribution

Source:alirezarezvani/claude-skillsinengineering-team/skills/senior-ml-engineerat commit19392f7

License: No license

Content belongs to its original authors. SourceWeft indexes it from a public repository.

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