---
title: "Hire sentence-transformers Specialists for Embeddings"
description: "sentence-transformers specialists choose embedding models and fine-tune them on your domain. Hire an AI-trained offshore team, billed as a monthly fee."
url: "https://azendo.co/skills/sentence-transformers/"
---

1. [Home](https://azendo.co/)
2. [Skills](https://azendo.co/skills/)
3. sentence-transformers

# sentence-transformers specialists for your dedicated team.

sentence-transformers is a Python library for computing dense vector representations of text, providing pretrained embedding models and tooling to fine-tune them on domain-specific data.

## Where sentence-transformers fits in a long-term product team.

Self-hosted embeddings change the economics of retrieval. Embedding a large corpus through a provider API is a meaningful cost and an ongoing one as documents change; a local model removes both, and for many corpora the quality difference is smaller than the cost difference.

Domain fine-tuning is where the real gains are. General embedding models perform poorly on specialised vocabulary, such as medical, legal and industrial terms, because similar-looking terms can mean different things. Fine-tuning on a few thousand domain pairs often improves retrieval more than any other single change.

## What your dedicated team does with sentence-transformers.

Changing embedding model means re-embedding everything. Vectors from different models are not comparable, so the decision carries a migration cost that grows with the corpus.

Evaluating candidates properly before committing deserves real time, the kind of upfront work your [dedicated AI team](https://azendo.co/services/dedicated-ai-engineering-team/) does.

## Common sentence-transformers use cases.

* Embedding cost removed Local models where a large or frequently changing corpus makes API embedding expensive.
* Fine-tuning on domain vocabulary Specialised terminology handled, where general models conflate distinct terms.
* Model chosen before the corpus grows Evaluation upfront, because changing later means re-embedding everything.

## Adding sentence-transformers skills to your team.

Embedding work is assigned inside AI capacity, with model selection evaluated before ingestion because migration cost grows with the corpus.

Every sentence-transformers 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 sentence-transformers

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

## Service areas that use sentence-transformers

* [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

* [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/)
* [MLflow, a skill in our teams](https://azendo.co/skills/mlflow/)

## Tell us what you need sentence-transformers 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/)