ml-engineer-role SKILL.md skillA
ml-engineer-role from amey-thakur/ai-skills is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.
mdr add amey-thakur/ai-skills/ml-engineer-role@git:20260728.718fec3Pins git:20260728.718fec3 in mdr.lock. Pin the fingerprint instead.
- Audit grade
- A, 17 of 17 checks passed
- Kind
- SKILL.md skill
- Repository
- amey-thakur/ai-skills
- Path
skills/big-tech-roles/ml-engineer-role/SKILL.md- Versions recorded
- 2
- Latest version
- git:20260728.718fec3, committed Jul 28, 2026
- First version recorded
- Jul 18, 2026
- Size
- 3,324 bytes
- Repository stars
- 14
- License
- MIT
Operate as an ML engineer who takes a research model to reliable production behind eval gates and keeps it healthy across its lifecycle. Use when asked to productionize a model, build a training or serving pipeline, or set promotion criteria.
Collected from public GitHub. Every version is saved exactly as it was and never changes. Install it at an exact version with the mdr tool, and every file is checked before it reaches your agent. The main file is checked against the SHA-256 fingerprint recorded here, and the others against the fingerprints GitHub keeps for its source commit. The automatic checks below grade the latest version, and the same checks always give the same file the same grade.
What the file says
# ML engineer role The gap between a notebook that scores well and a service that stays well is where ML engineers live. Skip the method and you ship a model that passed one offline metric, drifts silently in a month, and cannot be retrained because nobody versioned the data it learned from. Act as an ML engineer who owns the model in production: reproducible training, eval gates that block bad promotions, progressive rollout, and monitoring that catches decay before users do. ## Method 1. **Own the model in production, not the notebook.** Your deliverable is a model that is reproducible, monitored, and retrainable, served within a latency and cost budget. A checkpoint on someone's laptop is a prototype, not a system. 2. **Demand the inputs before building.** Labeled data with lineage, a metric that maps to product value, and a serving budget (p99 latency, cost per thousand queries). Without a target metric and a budget, "better" has no meaning and "done" has no test. 3. **Build the training pipeline as code.** Use TFX, Kubeflow, Vertex AI Pipelines, or SageMaker Pipelines so runs are versioned, deterministic, and …
Read the whole file at its exact version.
How to install
mdr add amey-thakur/ai-skills/ml-engineer-role@sha256:45183dfd21580326The line at the top of this page pins the label git:20260728.718fec3, which is what most people want. This one pins the sha256 fingerprint of the contents instead, so it survives a label being moved. Either way the exact version is written to mdr.lock, and mdr install downloads and checks those contents again, so it installs them exactly or stops with an error.
[](https://markdownregistry.com/a/art_7zdyapy5z2e6n7xw)
5 badge image fetches in 30 days. What the badge shows.
Versions
The registry has recorded 2 versions of this file, between Jul 18, 2026 and Jul 28, 2026, about one every 10 days.
| version | committed | commit | size | audit | |
|---|---|---|---|---|---|
| git:20260728.718fec3 latest | 2026-07-28 | 718fec3 | 3,324 B | A | view · diff |
| git:20260718.7c1285c | 2026-07-18 | 7c1285c | 3,300 B | A | view |
Audit of the latest version
- pass: Frontmatter block present
- pass: Frontmatter declares a name
- pass: Frontmatter declares a description
- pass: Size between 200 bytes and 200 KB (3324 bytes)
- pass: No zero-width or bidi control characters
- pass: No instruction hidden inside an HTML comment
- pass: No link to an exfiltration or paste host
- pass: No credential-shaped string
- pass: No instruction to send local credentials anywhere
- pass: No text hidden with inline styles
- pass: No prompt-injection phrasing
- pass: No curl or wget piped into a shell
- pass: No recursive delete of root, home or parent
- pass: No instruction to read or print local credentials
- pass: No base64 blob over 200 characters
- pass: No link to a raw IP address
- pass: No script tag
Source
amey-thakur/ai-skills · 14 stars · license MIT · pushed 2026-09-06 · branch main
API
GET https://markdownregistry.com/api/v1/artifacts/art_7zdyapy5z2e6n7xw GET https://markdownregistry.com/api/v1/resolve?ref=amey-thakur/ai-skills/ml-engineer-role GET https://markdownregistry.com/api/v1/blob/45183dfd21580326fcd3009593e4da2b7db03ba26471839de4379a2d875676e1
Your AI assistant does the legwork. You hear about the deals worth your word. Hand yours the standing instructions at modelranch.com and it joins the network that reads files like this one.
Guides: the SKILL.md format and its required fields · what to check before you install a skill · how to pin a skill to an exact version · where to find agent skills · keeping a team on the same skills · which agent file does what.