Hire AI/ML Developers
- Intelligent Talent, Real-Time Results
AI isn’t the future. It’s already building it.
The companies winning today are the ones embedding intelligence across their workflows. At Ayruz, we don’t just offer AI developers—we deliver strategic minds who understand how to use machine learning, deep learning, and automation to unlock real business impact.
Build your AI product or accelerate your current roadmap—AI experts from $1,500/month.
View Developer Profilesour clients
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AI & ML Talent Aligned to Your Use Case
Machine Learning Engineers
- 3–5 years experience
- Regression, classification, supervised/unsupervised learning
- TensorFlow, scikit-learn, PyTorch
- Starts at $20/hour
Deep Learning Engineers
- 4–7 years experience
- CNNs, RNNs, LSTMs, Transformer-based models
- HuggingFace, OpenCV, PyTorch Lightning
- Starts at $24/hour
AI Architects
- 7–10+ years experience
- System design, MLOps strategy, scalable AI infrastructure
- AWS SageMaker, Vertex AI, Azure ML, Docker, K8s
- Starts at $30/hour
Build an AI Team
Need multiple roles? We'll assemble the right combination of ML engineers, data scientists, backend developers, and project managers.
Hire for AI Product Delivery
Have a use case but no in-house team? From dataset curation to production deployment—we’ll build it for you.
Looking to Build Smarter, Self-Learning Systems?
Hire AI/ML engineers who craft intelligent models and automation pipelines tailored to your business logic.
Where Our Developers Deliver Excellence
Why Teams Choose Ayruz
🔹 Time-zone aligned experts (US, MENA, EU-ready)
🔹 Pre-vetted AI talent across industries
🔹 Delivery manager included for squad engagements
🔹 Embedded with your team’s tools & sprint rituals
🔹 Transparent pricing, daily reporting, full IP rights
🔹 Long-term retention: 6 years avg. with clients vs 1.5 years industry average
“You don’t just get a coder- you get an AI strategist who understands how to deliver business value.”
Frameworks, Tools & Integrations
Libraries & Frameworks
TensorFlow
PyTorch
HuggingFace
OpenCV
NLTK
Data & ETL
Pandas
NumPy
Dask
Airflow
Prefect
Model Deployment
Docker
FastAPI
ONNX
Flask
Streamlit
Platforms
AWS SageMaker
Google Vertex AI
Azure ML
MLflow
Weights & Biases
Before You Hire: What to Know
Let’s keep it real. Our AI developers know how to work with messy data, unclear specs, and real-world deadlines.
- Don’t hire just based on GitHub stars- look for production deployment experience.
- Avoid “ML tourists” who can build a model but can’t ship it.
- Ask about MLOps fluency- not just model building.
- Clarify project ownership- we always provide a dedicated point of contact.
- Understand the difference between experimentation and deployment- we specialize in both.
We’re here to be transparent. Ask us anything—from onboarding to billing. We build long-term relationships, not just teams.
Speak with a Technical ConsultantReal Results from Real Clients
“They helped us build our own GPT-based model and scale it to serve thousands of concurrent users.”
Kiran R
CTO, EdTech Platform
“We launched a computer vision product from scratch- Ayruz’s team led it from ideation to production.”
Neha Gupta
Product Head, Logistics Startup
Looking to Build Smarter, Self-Learning Systems?
Hire AI/ML engineers who craft intelligent models and automation pipelines tailored to your business logic.
Frequently Asked Questions
Can you work with my existing data infrastructure?
Absolutely. We integrate with cloud, on-prem, or hybrid data stacks.
What if I don’t have clean data?
We’ll help you clean, label, and augment your data to train robust models.
Can I start with a small PoC before scaling?
Yes. Most of our clients start with a 2–3 sprint pilot phase.
Do you provide end-to-end AI development?
Yes- from problem framing to post-deployment monitoring.