You will get ML Model Development + Docker Container
Project details
will build and deploy a production-ready Machine Learning model using Docker. You will get a fully working ML solution with data preprocessing, model training, evaluation, and containerized deployment. The service includes an API endpoint for easy integration and clear documentation.
Machine Learning Tools
Azure Machine Learning, Google Sheets, NumPy, pandas, Python, Python Scikit-Learn, PyTorch, R, scikit-learn, SciPy, SQL, TensorFlow, XGBoostWhat's included
| Service Tiers |
Starter
$250
|
Standard
$450
|
Advanced
$1,200
|
|---|---|---|---|
| Delivery Time | 5 days | 7 days | 14 days |
Number of Revisions | 0 | 2 | 5 |
Number of Model Variations | 1 | 3 | 5 |
Number of Scenarios | 1 | 2 | 3 |
Number of Graphs/Charts | 0 | 2 | 4 |
Model Validation/Testing | |||
Model Documentation | - | - | |
Data Source Connectivity | - | ||
Source Code |
Optional add-ons
You can add these on the next page.
Fast Delivery
+$100 - $300
Additional Revision
+$50
Additional Model Variation
(+ 2 Days)
+$100
Additional Scenario
(+ 2 Days)
+$100
Additional Graph/Chart
(+ 2 Days)
+$100
Model Documentation
(+ 2 Days)
+$100
Data Source Connectivity
(+ 2 Days)
+$100About Daniyal
Machine Learning Engineer | Python | Scikit | Docker & Kubernetes
Lahore, Pakistan - 5:30 pm local time
I am a Data Scientist and aspiring Machine Learning Engineer based in Germany (OVGU), with 12+ years of software development experience. I have worked on real-world ML projects with Amazon DE and competed in OpenAI’s Hearthstone bot training competition, where I collaborated with a team to build and optimize AI agents.
What I offer
I build production-ready ML solutions from end-to-end, including:
-Model development (classification, regression, forecasting, NLP, CV)
-Feature engineering & model selection
-Hyperparameter tuning & performance optimization
-Dockerized training and deployment pipelines
-Kubernetes orchestration for scalable deployments
-KPI visualization and reporting
-Reproducible workflows with GitHub
Skills
Python: PyCharm, scikit-learn, NumPy, Pandas, Matplotlib
ML Models: Logistic Regression, Ridge/Lasso, Random Forest, XGBoost, SVM, KNN, ANN, YOLO, MILP
Deployment: Docker, Kubernetes
Version Control: GitHub
Why you should hire me
With a strong background in software engineering and data science, I build ML systems that are clean, scalable, and efficient. I focus on delivering high-quality, production-ready work that meets business goals and performs reliably in real environments.
Steps for completing your project
After purchasing the project, send requirements so Daniyal can start the project.
Delivery time starts when Daniyal receives requirements from you.
Daniyal works on your project following the steps below.
Revisions may occur after the delivery date.
Introduction to the problem