Neural networks fail when they can't reach production. Work with Keras engineers who've designed deep learning architectures, optimized inference latency, and deployed models that meet business KPIs.
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We connect you with machine learning engineers who've built production pipelines, optimized model performance, and integrated neural networks into cloud infrastructure.
Find Keras specialists in weeks instead of months navigating a scarce ML talent pool.
Start with one engineer or spin up a full ML squad as your model complexity grows.
Onboard engineers who adopt your training pipelines, cloud infrastructure, and deployment practices.
Partner with engineers experienced in neural network architectures, optimization techniques, and production deployment.
We handle NDAs, cross-border contracts, and payroll while protecting your IP.
Benefit from 97% retention that preserves model knowledge across training cycles.
Find Keras specialists in weeks instead of months navigating a scarce ML talent pool.
Start with one engineer or spin up a full ML squad as your model complexity grows.
Onboard engineers who adopt your training pipelines, cloud infrastructure, and deployment practices.
Partner with engineers experienced in neural network architectures, optimization techniques, and production deployment.
We handle NDAs, cross-border contracts, and payroll while protecting your IP.
Benefit from 97% retention that preserves model knowledge across training cycles.
Our streamlined process connects you with deep learning engineers who understand neural network architectures and integrate seamlessly with your ML workflow.
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At X-Team, we provide Keras engineers who act like long-term teammates—designing neural networks, optimizing training pipelines, and deploying models so your ML applications scale with confidence.
Our hiring process pre-vets every candidate for Python proficiency, deep learning knowledge, and cultural fit. We ensure only the most qualified and compatible ML engineers are presented for your consideration.
In many cases, we can match you with a single engineer within a few weeks. Larger teams take longer, depending on the skill sets and number of engineers required.
Yes. You can start with one Keras engineer or ramp up a dedicated ML team, then adjust headcount up or down as your model requirements evolve.
The cost to hire a Keras developer varies by location, seniority, and engagement model. Typical hourly rates range from $70–160 per hour depending on seniority, region, and project complexity. Full-time deep learning engineers typically earn $80,000–$150,000+ annually, with an average around $115,864 per year.
Freelance platforms can connect you with Keras developers, but you're on the hook for sourcing, vetting, and managing the work. X-Team is different. We provide you with fully committed, pre-vetted engineers who integrate into your stack, tools, and culture for the long haul.
You do, as long as payment is current. All models and training pipelines created by X-Team engineers are fully yours, protected under clean work-for-hire and IP assignment agreements.
X-Team engineers adopt your repositories, boards, frameworks, and rituals from day one—joining stand-ups, code reviews, and sprint planning just like any in-house teammate.
We'll resolve the issue quickly, whether through feedback or replacing the engineer. Our goal is long-term cultural fit, not just quick placement.
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.
Keras engineers provided by X-Team follow your existing review and testing pipelines, use secure company-issued devices, and comply with best practices for credentials and access.
X-Team manages the full operational layer so you can scale globally without the legal or logistical friction. We handle onboarding, contracts, NDAs, and background checks. We ensure every developer is properly classified and compliant in their country of residence. You receive a single, simple invoice — no paperwork overload, no surprises.
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.