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Fiverr Pro
English
$
USD
I will build a machine learning model for prediction, classification, or forecasting
AI ML Engineer
I build AI and ML solutions end to end, from problem definition to production deployment.
My work covers custom ML models, LLM-powered apps with RAG and multi-agent pipelines, data engineering at sca...
About this Gig
Your data has answers.
The question is whether your model is actually finding them.
Most machine learning projects fail not because of bad data, but because of poor preprocessing, wrong algorithm choices, and models that never get deployed. I build end-to-end ML solutions that go from raw data to a working, documented, production-ready model.
What you get:
- Clean preprocessing pipeline
- Trained and tuned model for classification, regression, or forecasting
- SHAP explainability so predictions make sense to stakeholders
- Full source code with documentation
- Optional API and cloud deployment
I have built models processing millions of records across finance, e-commerce, and operations using Python, XGBoost, LightGBM, scikit-learn, and more.
Not sure what your data needs? Message me before ordering. I will tell you exactly what approach fits your problem.
Programming language:
Python
•
Colab
•
MLflow
Frameworks:
Scikit-learn
•
Google ML Kit
•
Keras
•
PyTorch
•
Panda
Tools:
Jupyter Notebook
•
OpenCV
•
TensorFlow
•
MLflow
•
Colab
Other Data Science & ML Services I Offer
FAQ
What information do I need to provide to get started?
Just share your dataset and tell me what outcome you want to predict or classify. If you have any specific business requirements, accuracy targets, or constraints like memory or speed, mention those too. The more context you give, the better the model I can build for you.
What file formats do you accept for data?
I work with CSV, Excel, JSON, SQL databases, and most common data formats. If your data is stored somewhere else, message me first and we can figure out the best way to handle it.
My dataset is very small. Can you still build a model?
Yes, but the approach changes depending on size. For smaller datasets I use techniques like cross validation, regularization, and simpler models that generalize better. I will always tell you honestly if your data is too limited to produce reliable results.
Will I be able to use the model without knowing Python?
If you order the Standard or Premium package, I provide full documentation explaining how everything works. With the Premium package you also get a REST API, meaning you can send data to the model and get predictions back from any application without touching the code.
What if the model accuracy is not good enough?
Before starting I will set realistic expectations based on your data. If results fall short of what we agreed on, I will work through revisions to improve performance. I do not deliver and disappear.
Do you sign NDAs or keep my data confidential?
Yes. Your data and business information are treated as strictly confidential. If you need a formal NDA signed before sharing data, I am happy to do that.
Can you work with imbalanced datasets or messy real-world data?
That is most of what real-world ML actually involves. I handle class imbalance with techniques like SMOTE and class weighting, and I deal with missing values, outliers, and inconsistent formats as part of the preprocessing step.
What cloud platforms do you deploy to?
I primarily work with Azure, GCP, and AWS. If you have a preference or already use a specific platform, let me know and I will deploy there. Cloud deployment is included in the Premium package and available as an add-on for other packages.
