You will get a custom ML model built and deployed to production
Project details
You get a working ML model in production - not a notebook that never ships. I take your raw data through feature engineering, model selection, and evaluation, then deploy it behind a real API endpoint your product can call today.
Why me: MSc in Machine Learning, dual BSc in Computer Science + Mathematics, 12 granted patents in AI/ML. I've built production models where being wrong costs real money - fraud detection at bank scale (JPMorgan Chase, Bank of America via NICE Actimize) and cloud security threat detection. I don't hand you a proof of concept; I hand you something that survives real traffic.
Typical builds: classification (fraud, churn, lead scoring), regression and forecasting (demand, pricing, time series), recommendation engines, anomaly detection. Any framework - scikit-learn, XGBoost, PyTorch, TensorFlow - matched to what the problem actually needs, not what's trendy.
Starter: one model, clean evaluation, ready to review. Standard: full pipeline with feature engineering, deployed behind an API endpoint. Advanced: multiple models compared, production deployment, plus a monitoring and retraining plan so performance doesn't quietly decay.
Why me: MSc in Machine Learning, dual BSc in Computer Science + Mathematics, 12 granted patents in AI/ML. I've built production models where being wrong costs real money - fraud detection at bank scale (JPMorgan Chase, Bank of America via NICE Actimize) and cloud security threat detection. I don't hand you a proof of concept; I hand you something that survives real traffic.
Typical builds: classification (fraud, churn, lead scoring), regression and forecasting (demand, pricing, time series), recommendation engines, anomaly detection. Any framework - scikit-learn, XGBoost, PyTorch, TensorFlow - matched to what the problem actually needs, not what's trendy.
Starter: one model, clean evaluation, ready to review. Standard: full pipeline with feature engineering, deployed behind an API endpoint. Advanced: multiple models compared, production deployment, plus a monitoring and retraining plan so performance doesn't quietly decay.
Machine Learning Tools
PythonWhat's included
| Service Tiers |
Starter
$600
|
Standard
$1,800
|
Advanced
$3,500
|
|---|---|---|---|
| Delivery Time | 5 days | 10 days | 18 days |
Number of Revisions | 1 | 2 | 3 |
Model Validation/Testing | - | - | - |
Model Documentation | - | - | - |
Data Source Connectivity | - | - | - |
Source Code | - | - | - |
About Amir
Data Scientist and AI Engineer
Ramat Gan, Israel - 11:52 pm local time
Former Chief Data and AI Scientist at Skyhawk Security, where I led the first-ever integration of Generative AI into cloud threat detection products. Published researcher in AI security with coverage in TechTarget and industry media.
Inventor on 12 patents in AI/ML, fraud detection, anomaly detection, and cloud security (NICE Ltd, Skyhawk Security, Outbrain).
What I deliver:
- LLM integration pipelines (Claude, GPT, Gemini) - prompt engineering, structured output, RAG, evaluation frameworks
- Production ML systems - classification, NLP, computer vision, recommendation engines
- Data engineering - ETL pipelines, data processing, analytics dashboards
- Cloud infrastructure - Azure, AWS, Docker, CI/CD
Education: MSc Machine Learning and Data Science (Tel Aviv University), dual BSc Computer Science + Mathematics (Technion).
Previously: Data Engineer at Outbrain, ML systems at IBM, Teaching Assistant at Technion (Calculus, Linear Algebra, Image Processing).
I specialize in taking AI from prototype to production - fixing output quality, optimizing inference pipelines, and building reliable systems that handle real-world data. Available for short-term sprints and ongoing engagements.
Steps for completing your project
After purchasing the project, send requirements so Amir can start the project.
Delivery time starts when Amir receives requirements from you.
Amir works on your project following the steps below.
Revisions may occur after the delivery date.
Data review and feature engineering
Model development and evaluation