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Fiverr Pro
English
$
USD
I will deploy your ml model to production with docker, AWS, fastapi, and ci cd pipeline
SENIOR FULL STACK AI ENGINEER
I'm a full-stack developer specializing in DevOps deployment and version control, with hands-on experience deploying websites and applications to Vercel, managing GitHub repositories, and handling com...
Level 2
Has met high performance criteria and has a proven track record for meeting client expectations.
About this Gig
Trained your ML model but stuck getting it live and reliable? I turn your trained model into a production API with monitoring, CI/CD, and cloud deployment so it scales without breaking.
What I deliver:
FastAPI or Flask REST API wrapping your trained model
Dockerized service clean, portable, reproducible
Cloud deployment AWS (EC2, SageMaker, Lambda) or Railway/GCP
CI/CD pipeline with GitHub Actions auto-deploy on push
Monitoring setup CloudWatch, Prometheus + Grafana, or Evidently AI
Input validation, error handling, logging, and health checks
Load testing and performance optimization
Why me: Most ML engineers can train models. Few can ship them reliably. I specialize in the train-to-production gap clean APIs, automated pipelines, and infrastructure that doesn't wake you up at 3am. Level 2 seller with production MLOps experience on AWS.
Programming language:
Python
•
R
•
SQL
•
MLflow
•
Amazon SageMaker
Frameworks:
Scikit-learn
•
Google ML Kit
•
Keras
•
PyTorch
•
Panda
My Portfolio
FAQ
My model is in a Jupyter notebook. Can you still deploy it?
Yes, that's actually the most common scenario. I'll refactor your notebook into a clean, modular codebase, then wrap it into an API and deploy it. Just share the notebook and I'll handle the rest.
Do you include model monitoring for data drift?
The Premium package includes monitoring setup. For data drift specifically (using Evidently AI or WhyLabs), I can add it as an add-on to Standard. Just mention it when ordering.
