Vetted, bilingual machine learning engineers from Latin America. Ready to put models into production, build LLM features and data pipelines, and keep them fast, tested, and affordable on US hours.
Looking for a job with Virtustant? Apply at jobs.virtustant.com
Hires placed since 2021
US companies
Placement fees, ever
To first shortlist
Vetted talent
Engineers who take machine learning from a notebook into your product, from the LLM feature and the data pipeline to the API that serves it.
Your engineer builds product features on OpenAI and other model APIs, from summaries and classification to agents that take actions.
Your documents and data are indexed so model answers are grounded in your own sources.
Data is collected, cleaned and versioned in pipelines that feed training and evaluation.
Models and model calls are deployed behind APIs in your cloud, with Docker and CI handling releases.
Outputs are tested against real examples before each release, so a change does not quietly make answers worse.
Latency, usage and cost are monitored, and calls are cached or batched where it pays off.
We match each hire to the apps you already run.
A sample of profiles, each interview ready with role, country, and English level.
Monthly and annual cost examples at this role’s displayed starting rate, based on 160 billed hours per month.
Both timelines run from your first call in calendar hours, including weekends.
A machine learning engineer puts models into production. For AI features inside your app, see our AI developer page; for agents that take actions across your tools, see our AI agent developer page.
Need forecasts and models from your data first? See our data scientist and data analyst pages, or our Python developer page for the code around them. To budget the hire, read our software developer cost guide.
48-hour shortlist. 72-hour start. From your first call, including weekends.
