---
title: "Hire CI/CD for Models Engineers | Managed Offshore | Azendo"
description: "CI/CD for models engineers put evaluation gates and rollback between a trained model and production. A dedicated, AI-trained team in Chiang Mai and Bangkok."
url: "https://azendo.co/skills/ci-cd-for-models/"
---

1. [Home](https://azendo.co/)
2. [Skills](https://azendo.co/skills/)
3. CI/CD for models

# CI/CD for models specialists for your dedicated team.

CI/CD for models extends continuous delivery to machine learning: automated training, evaluation against thresholds, registration and deployment with the ability to roll back, with the model treated as a versioned artefact.

## Where CI/CD for models fits in a long-term product team.

Model deployment differs from application deployment in one decisive way: correctness is statistical. Tests do not pass or fail; a model scores, and the pipeline needs a threshold policy deciding whether that score is good enough to promote.

Comparison against the current production model is the gate that matters. A new model must beat what is already deployed on the metrics that count, evaluated on the same held-out data, or promoting it is a change with no evidence behind it.

## What your dedicated team does with CI/CD for models.

Rollback needs to be as fast for models as for code. When a deployed model starts behaving badly, reverting to the previous version should be a single operation.

That means retaining previous model artefacts and keeping the deployment path reversible, which is part of the delivery standard agreed as a committed monthly capacity.

## Common CI/CD for models use cases.

* Promotion gated on evaluation A threshold policy, so a model reaches production on evidence.
* Compared against what is deployed The incumbent as the baseline, evaluated on the same held-out data.
* Rollback as one operation Previous artefacts retained, so reverting does not mean retraining.

## Adding CI/CD for models skills to your team.

Model delivery pipelines span ML and platform capacity, with rollback as a required capability.

At Azendo, CI/CD for models work sits with a [dedicated MLOps team](https://azendo.co/services/dedicated-mlops-team/). You can add CI/CD for models capacity as one dedicated specialist or as part of a wider remote team, with the people managed by us from our offices in Thailand. Companies [hire dedicated developers](https://azendo.co/hire-a-dedicated-development-team-in-thailand/) this way under one agreement and one monthly fee.

## Roles that use CI/CD for models

* [MLOps Engineer MLOps engineering](https://azendo.co/services/dedicated-mlops-team/mlops-engineer/)

## Service areas that use CI/CD for models

* [MLOps engineering](https://azendo.co/services/dedicated-mlops-team/)

Capacity is agreed across your whole team, with one monthly fee, not per skill.

## Related in mlops and model delivery

* [MLOps handoff, a skill in our teams](https://azendo.co/skills/mlops-handoff/)
* [ONNX, a skill in our teams](https://azendo.co/skills/onnx/)
* [TensorRT, a skill in our teams](https://azendo.co/skills/tensorrt/)
* [Model registry, a skill in our teams](https://azendo.co/skills/model-registry/)
* [Weights & Biases, a skill in our teams](https://azendo.co/skills/weights-and-biases/)
* [Comet, a skill in our teams](https://azendo.co/skills/comet/)
* [Neptune.ai, a skill in our teams](https://azendo.co/skills/neptune-ai/)
* [DVC, a skill in our teams](https://azendo.co/skills/dvc/)

## Tell us what you need CI/CD for models for.

A service delivery manager will reply with the specialists we'd suggest, the monthly capacity and what the first month looks like.

[Browse all skills](https://azendo.co/skills/)