Hire AI/data science experts
– Intelligence at Scale
From prediction engines to personalized experiences — hire experts who turn raw data into competitive advantage.
Our AI and data science experts help you build smarter systems that automate decision-making, uncover insights, and unlock growth. From machine learning models to NLP, we match you with specialists who know how to move models from notebooks to production.
Hire AI/ML & data science professionals starting at $1,500/month.
View Developer Profilesour clients
-Logo.wine.webp){kind=logo}
Data & AI Talent Tailored to Your Needs
Machine Learning Engineers
- 3–5 years experience
- Regression, classification, supervised/unsupervised learning
- TensorFlow, scikit-learn, PyTorch
- Starts at $20/hour
Data Scientists
- 4–7 years experience
- Data wrangling, feature engineering, hypothesis testing, insight generation
- Tools: Python, Pandas, NumPy, Jupyter, PowerBI, R
- Starts at $20/hour
NLP & Generative AI Specialists
- 5–10+ years experience
- Transformers, LLM fine-tuning, embeddings, RAG pipelines, chat agents
- Tools: LangChain, OpenAI, HuggingFace, spaCy, Pinecone, Vector DBs
- Starts at $28/hour
Build an AI Pod
Get a custom team of data engineers, ML scientists, MLOps experts, and analytics strategists to own your AI roadmap.
Ready to Transform Your Data Into Real Results?
Our experts go beyond experimentation — they ship real-world solutions.
Need to Turn Raw Data Into Real Business Outcomes?
Work with AI and data science experts who don’t just experiment—they deliver deployable, ROI-driven solutions.
Where Our Experts Deliver Excellence
Why Teams Choose Ayruz
- Experts who speak business and data fluently
- Proven across SaaS, Healthcare, Retail, Fintech
- Support across the stack: pipeline → model → dashboard
- GenAI-ready teams: embeddings, vector search, LLM tuning
- Flexible: fractional, full-time, or project-based
Heading 1
Heading 2
Heading 3
Heading 4
Heading 5
Heading 6
Lorem ipsum dolor sit amet, consectetur adipiscing elit, sed do eiusmod tempor incididunt ut labore et dolore magna aliqua. Ut enim ad minim veniam, quis nostrud exercitation ullamco laboris nisi ut aliquip ex ea commodo consequat. Duis aute irure dolor in reprehenderit in voluptate velit esse cillum dolore eu fugiat nulla pariatur.
Block quote
Ordered list
- Item 1
- Item 2
- Item 3
Unordered list
- Item A
- Item B
- Item C
Bold text
Emphasis
Superscript
Subscript
“We didn’t just need an ML model. We needed someone who could challenge our assumptions, clean the data, and ship results. Ayruz delivered.” — VP Data Science, Fintech SaaS
Frameworks, Tools & Integrations
Languages & Libs
Python
SQL
Pandas
NumPy
Scikit-learn
ML/AI
TensorFlow
Keras
Pytorch
OpenAI
HuggingFace
Data Infra
Airflow
MLflow
Snowflake
BigQuery
Redshift
BI & Viz
Power BI
Tableau
Looker
Dash
Streamlit
Deployment
Docker
FastAPI
Vertex AI
SageMaker
Before You Hire: What to Know
Ask better questions. Get smarter answers. Move faster with confidence.
- Models are only as good as the data pipelines behind them
- Validate experience with production deployments—not just Jupyter notebooks
- Business context matters—we match talent by industry
- Our experts stay longer: 6+ years avg. vs. 1.5 industry norm
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
“Ayruz built and deployed a GPT-based support bot that automated 65% of tickets.”
Raghu Singh
Director of Ops, eCommerce
“Our AI churn model helped reduce loss by 27% in 3 months.”
Rekha Menon
Sr. Growth Analyst, SaaS
Need to Turn Raw Data Into Real Business Outcomes?
Work with AI and data science experts who don’t just experiment—they deliver deployable, ROI-driven solutions.
Frequently Asked Questions
Can you help with both traditional ML and GenAI?
Yes. We have experts in both predictive modeling and LLM/GPT-based solutions.
Can I hire for just a PoC or short-term project?
Absolutely. We support part-time and project-based engagements.
Do you offer data infra/MLOps support too?
Yes—we help set up pipelines, orchestration, and deployment workflows.
Will your team work with our engineers?
Yes—our experts collaborate seamlessly with in-house dev and product teams.