---
title: "Hire Google and Open-weight Models Specialists, Offshore"
description: "Google and open-weight models specialists who match model size to the task, check licences and deploy. Dedicated to your AI product and managed by us."
url: "https://azendo.co/skills/google-and-open-weight-models/"
---

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3. Google and open-weight models

# Google and open-weight models specialists for your dedicated team.

Open-weight models such as Gemma, Llama, Mistral and Qwen are published with downloadable weights. They cover a range of sizes, and the smaller ones run on modest hardware including CPUs and edge devices.

## Where Google and open-weight models fits in a long-term product team.

The most useful property of open weights is the size range. Many production tasks, such as classification, extraction, routing and short-text summarisation, are handled well by a small model that runs cheaply, and using a frontier model for them pays much more for capability the task doesn't need.

Licensing needs careful reading. "Open weights" covers a range from fully permissive to licences with usage restrictions, scale thresholds or field-of-use limits. A model chosen without checking can become a commercial problem well after it is embedded in a product.

## What your dedicated team does with Google and open-weight models.

Model selection should be empirical. A small model evaluated on the real task often matches a much larger one at a fraction of the cost and latency, and that comparison takes days.

Running that evaluation properly is part of what our AI engineers do when you [hire AI engineers](https://azendo.co/services/dedicated-ai-engineering-team/) through us.

## Common Google and open-weight models use cases.

* Small models for bounded tasks Classification and extraction handled at a fraction of frontier-model cost.
* Licences checked before adoption Usage restrictions understood, because they are a commercial problem once embedded.
* On-device and edge inference Models small enough to run where no connection or no data egress is permitted.

## Adding Google and open-weight models skills to your team.

Model evaluation is explicit scope, with model size matched to the task by measurement.

Every Google and open-weight models specialist we assign works remotely inside your tools as a dedicated member of your team, with the management on our side. It is how companies [hire remote developers](https://azendo.co/hire-a-dedicated-development-team-in-thailand/) without opening an offshore office of their own.

## Roles that use Google and open-weight models

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

## Service areas that use Google and open-weight models

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

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

## Related in ai and machine learning

* [PyTorch, a skill in our teams](https://azendo.co/skills/pytorch/)
* [TensorFlow, a skill in our teams](https://azendo.co/skills/tensorflow/)
* [scikit-learn, a skill in our teams](https://azendo.co/skills/scikit-learn/)
* [Pandas, a skill in our teams](https://azendo.co/skills/pandas/)
* [NumPy, a skill in our teams](https://azendo.co/skills/numpy/)
* [embeddings, a skill in our teams](https://azendo.co/skills/embeddings/)
* [function calling, a skill in our teams](https://azendo.co/skills/function-calling/)
* [vLLM, a skill in our teams](https://azendo.co/skills/vllm/)

## Tell us what you need Google and open-weight 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/)