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Fiverr Pro
English
$
USD
I will build and deploy your ml model with mlops pipeline using flask
Zahid Iqbal
About this gig
"Most freelancers hand you a Jupyter notebook. I build production-ready ML pipelines trained, tracked, containerized, and deployed as a working API, with CI/CD so your model actually ships instead of sitting in a notebook.
What you get:
-Model training & evaluation (scikit-learn)
-Flask API for real-time predictions
-Experiment tracking with MLflow
-Dockerized for consistent deployment anywhere
-GitHub Actions CI/CD pipeline (Premium)
-Full documentation (Premium)
Great for:
startups needing a working ML API, researchers who need their model deployed, businesses wanting a proof-of-concept that actually runs not just a notebook.
Share your dataset and use case, and I'll confirm the right package before you order."
Get to know Zahid Iqbal
Zahid Iqbal
AI Developer,, Data Scientist and Backend Developer
- FromPakistan
- Member sinceSep 2026
- Avg. response time1 hour
Languages
Urdu, English
I’m a Professional AI Developer with 10+ years of experience, specializing in AI, ML, Generative AI, LLMs, AI Agents, RAG, chatbots, automation, NLP, Computer Vision, and custom AI solutions. At Devsinc, I delivered complex projects and earned multiple promotions, 5 achievement awards, medals, and Employee of the Year recognition. I build scalable, reliable solutions tailored to your goals. **Have an AI idea or challenge? Send me a message today and let’s turn it into a powerful solution.**
My Portfolio
FAQ
Do you train the model, or do I need to provide one already trained?
"Both work — I can train a model from scratch using your dataset, or take your existing trained model and build the deployment pipeline around it. Just mention which applies in your order requirements."
Will the API be live on the internet, or just running locally?
"You'll receive a fully working Docker container you (or your team) can deploy anywhere. Live cloud hosting (AWS/GCP/Azure) isn't included by default — message me first if you need this so I can scope it properly."
What's the difference between the packages?
"Basic covers a trained model + Flask API. Standard adds MLflow experiment tracking and Docker containerization. Premium adds a full GitHub Actions CI/CD pipeline, complete documentation, and 2 rounds of revisions."
. What if my dataset needs cleaning before modeling?
"Basic cleaning is included. If your dataset needs extensive preprocessing, I'll flag this before starting so we can agree on scope and timeline."
Can you work with deep learning models (TensorFlow/PyTorch), not just scikit-learn?
"scikit-learn is my default for tabular data, but I can work with TensorFlow or PyTorch models too — mention your framework when placing your order."
Do I get the source code?
"Yes — full source code, Dockerfile, and setup instructions are included in every package."
Is support included after delivery?
"Minor bug fixes are covered during the revision period. Ongoing maintenance or new features can be arranged as a separate order."
