Browse categories
Explore
Fiverr Pro
English
$
USD
I will build and deploy custom ml and ai models and mlops pipelines
About this Gig
Stop Prototyping, Start Deploying. I Build Production-Ready AI.
I'm a seasoned Machine Learning Engineer with 15+ years of experience specializing in full-cycle AI development and MLOps deployment on AWS/Azure. I solve complex business pain points by delivering scalable systems that provide measurable results.
What I Build:
- Custom ML/AI Solutions: Solving challenges like credit risk, forecasting, anomaly detection, and classification.
- Efficiency & Savings: Optimize workflows to deliver significant time/cost reductions. I have experience cutting labor costs by 12% and boosting research efficiency by 40%.
- Full MLOps Solution: Seamless, scalable deployment using Docker, FastAPI, and AWS/Azure for real-time inference and monitoring.
Why Choose Me?
- 15+ Years Experience in ML/Data Engineering.
- Certified Azure Data Scientist and AI Engineer Associate.
- Proven Results: I deliver models and infrastructure thathat drive efficiency, not just prototypes.
Tech Stack: Python, XGBoost, TensorFlow/YOLOV5, SQL, Docker, FastAPI, AWS, Azure.
Click Contact Me with your goal, and let's turn your data into a deployed solution!
FAQ
Do I need to clean my data before sharing it with you?
While the Basic package assumes clean data, the Standard and Premium packages include data preprocessing. If your data is very messy, please add the "Data Cleaning & Prep" extra for best results.
What programming languages and frameworks do you use?
I primarily use Python with libraries like XGBoost, TensorFlow/YOLOV5, and Scikit-learn. I utilize Docker and FastAPI for deployment and work with AWS and Azure for MLOps infrastructure.
What is the difference between the Standard and Premium packages?
The Standard package delivers a production-ready model and documentation. The Premium package is the Full MLOps Solution, including model deployment, API integration, and monitoring setup on your chosen cloud platform (AWS/Azure).
