---
title: "Hire Hugging Face Engineers, an Offshore AI Team | Azendo"
description: "Hugging Face engineers who work with Transformers, check model licences and pin versions so builds repeat. AI-trained, dedicated to your team and managed."
url: "https://azendo.co/skills/hugging-face/"
---

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

# Hugging Face specialists for your dedicated team.

Hugging Face hosts models, datasets and the Transformers library that provides a consistent interface to thousands of pretrained models. It is the default distribution point for open machine learning.

## Where Hugging Face fits in a long-term product team.

A consistent interface across architectures is what makes the library valuable. Swapping one model for another to compare them is a string change, which makes empirical model selection cheap enough to do routinely.

The Hub is open, which means quality and provenance vary widely. A model with impressive benchmark numbers may have been evaluated on data that overlaps its training set, and licences on the Hub range from permissive to restrictive. Both need checking.

## What your dedicated team does with Hugging Face.

Pinning versions matters more than it does in most dependency management. Models on the Hub can be updated in place, so a deployment that pulls the latest can silently change behaviour between one release and the next.

Pinning revisions and mirroring artefacts internally is basic supply-chain hygiene for machine learning, and part of the standards your [dedicated AI team](https://azendo.co/services/dedicated-ai-engineering-team/) holds.

## Common Hugging Face use cases.

* Comparing models cheaply A consistent interface, so evaluating alternatives is a configuration change.
* Provenance and licence checked Model origin and terms verified before anything depends on it.
* Revisions pinned and mirrored Fixed versions held internally, so behaviour cannot change between deployments.

## Adding Hugging Face skills to your team.

Model sourcing sits with our AI engineers, with licence and provenance checks built into selection.

You can add Hugging Face 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 Hugging Face

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

## Service areas that use Hugging Face

* [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 Hugging Face 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/)