Need to hire deep learning experts fast? Turn to vetted PyTorch developers who can hit the ground running.
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PyTorch has become one of the most popular deep learning frameworks for research and production. Our engineers bring the expertise you need to build models that drive real results.
Source top PyTorch talent rapidly.
Add specialists or full teams as your AI roadmap unfolds.
Developers adopt your ML pipelines and collaboration tools.
Benefit from engineers experienced in neural networks, computer vision and natural language processing.
We handle contracts, NDAs and payroll globally.
Maintain momentum with high retention of 97% across projects.
Source top PyTorch talent rapidly.
Add specialists or full teams as your AI roadmap unfolds.
Developers adopt your ML pipelines and collaboration tools.
Benefit from engineers experienced in neural networks, computer vision and natural language processing.
We handle contracts, NDAs and payroll globally.
Maintain momentum with high retention of 97% across projects.
Our streamlined approach is built to connect you with top PyTorch engineers.
![[XT]-site-javascript-hero-2](https://x-team.com/hubfs/%5BXT%5D-site-javascript-hero.png)
At X‑Team, we provide outsourced PyTorch developers who act like long‑term teammates — plugging into your stack, adopting your rituals and building models that are production‑ready from day one so your product moves faster and scales without limits.
Our hiring process starts by pre-vetting every candidate for technical skill and cultural fit. Each engineer is tested on deep learning fundamentals, PyTorch proficiency, and hands-on model deployment experience to ensure only the most qualified, adaptable talent is presented for your consideration.
In many cases, we can match you with a single PyTorch engineer within a few weeks. Larger teams take longer, depending on the specialization, such as NLP, computer vision, or distributed training expertise.
Yes. You can start with one machine learning engineer or ramp up a full MLOps team, then adjust headcount up or down as your AI roadmap evolves.
Rates for PyTorch engineering services depend on specialization, project complexity, and experience level. While top AI consultants can charge upwards of $250/hour, most engagements range between $60–$150/hour, with predictable monthly pricing available for long-term partnerships.
Most AI staffing platforms simply give you access to profiles. X-Team provides fully committed, pre-vetted PyTorch engineers who integrate into your models, data pipelines, and experimentation frameworks—staying aligned with your goals from prototype to production.
You do, as long as payment is current. All code, models, and assets created by X-Team engineers are fully yours, protected under clean work-for-hire and IP assignment agreements.
Engineers adopt your repositories, experiment tracking tools, and cloud environments from day one—joining stand-ups, model reviews, and planning sessions just like any in-house teammate.
We’ll resolve the issue quickly, whether through feedback or replacing the engineer. Our focus is long-term cultural and technical fit, not short-term placements.
X-Team’s model is async-first, but we prioritize overlap with your core hours and match you with engineers who can collaborate in real time where it matters most.
Engineers follow your version control, testing, and deployment pipelines; use secure, company-issued devices; and comply with data privacy and model governance best practices.
X-Team manages the full operational layer so you can scale globally without the legal or logistical friction.
No matter where your engineer calls home, you get peace of mind knowing everything’s covered — legally, securely, and by the book.
We’ll sign an MSA that covers the terms of our work together. After that, our minimum engagement for a contracted scope of work is 3 months.