---
title: "Hire Vertex AI Specialists for Managed ML on Google Cloud"
description: "Vertex AI specialists connect BigQuery to foundation models on the managed ML platform. Hire an AI-trained offshore team, with the managing taken off you."
url: "https://azendo.co/skills/vertex-ai/"
---

1. [Home](https://azendo.co/)
2. [Skills](https://azendo.co/skills/)
3. Vertex AI

# Vertex AI specialists for your dedicated team.

Vertex AI is Google Cloud's unified machine learning platform, covering training, tuning, model registry, endpoints, pipelines, feature store and access to Google's foundation models.

## Where Vertex AI fits in a long-term product team.

BigQuery integration is the practical differentiator for organisations already using it. Training directly on warehouse data without an export step removes a pipeline and the staleness that comes with it, which is a meaningful simplification.

Access to Gemini and other foundation models within the same platform, under the same IAM and billing, matters where a separate vendor relationship is a procurement or compliance obstacle.

## What your dedicated team does with Vertex AI.

Pipelines are the component worth adopting early. Training expressed as a versioned, reproducible pipeline is the step that makes machine learning dependable.

Making that step deliberately, well before a handover forces it, is part of the standards agreed as a committed monthly capacity.

## Common Vertex AI use cases.

* Training directly on warehouse data BigQuery as the source, removing an export step and its staleness.
* Foundation models inside the estate Same IAM and billing, where a separate vendor is a compliance obstacle.
* Pipelines replacing notebooks Reproducible training that does not depend on a person running it.

## Adding Vertex AI skills to your team.

Vertex work is assigned inside AI capacity, with the move from notebooks to pipelines treated as a delivery milestone.

At Azendo, Vertex AI work sits with a [dedicated MLOps team](https://azendo.co/services/dedicated-mlops-team/). You can add Vertex AI 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 Vertex AI

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

## Service areas that use Vertex AI

* [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

* [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/)
* [Feast, a skill in our teams](https://azendo.co/skills/feast/)
* [feature stores, a skill in our teams](https://azendo.co/skills/feature-stores/)
* [Feature engineering, a skill in our teams](https://azendo.co/skills/feature-engineering/)
* [cross-validation, a skill in our teams](https://azendo.co/skills/cross-validation/)

## Tell us what you need Vertex AI 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/)