I will set up machine learning tracking and deployment pipeline


About this gig
I will set up a fully working MLflow experiment tracking
server for your ML project.
⭐ LIVE PROOF:
mlopslab.org/tools/mlflow-docker-compose-generator.html
(A real tool I built generates production MLflow configs)
WHAT I SET UP
- MLflow tracking server (local or cloud)
- Backend: PostgreSQL, MySQL, or SQLite
- Artifact storage: S3, MinIO, GCS, or local volume
- Docker Compose configuration
- Health checks + auto-restart
- Optional: Nginx reverse proxy + SSL
WHAT YOU GET
Fully working MLflow UI accessible in browser
Your experiments logging correctly from Python
Docker Compose file you own and can redeploy
Step-by-step documentation
5 days post-delivery support
WHY ME
I built and run mlopslab.org I've personally tested
MLflow against every major alternative. I know exactly
what breaks and how to fix it before it happens to you.
Message me before ordering tell me your cloud provider
and I'll confirm the right package.
Portfolio: mlopslab.org/tools/
Get to know Ayub Shah
AI Tools and MLOps Engineer at MLOpsLab
- FromPakistan
- Member sinceMay 2026
Languages
English, Urdu
My Portfolio
FAQ
Do I need to pay for cloud infrastructure?
No. You provide access to your own cloud account (AWS, GCP, or Azure). I handle the technical setup only — all cloud costs go to your account, not mine. After you order I will send you exact instructions on how to create safe limited access credentials.
Which cloud providers do you support?
I support AWS, GCP, and Azure. Tell me which one before ordering and I will confirm the right package and setup details for your environment.
Will this work with my existing Python training code?
Yes. Once your MLflow server is live I will also show you the 3 lines to add to your training script to start logging experiments immediately. No major changes to your existing code needed.
What if something breaks after delivery?
I provide 5 days of support after delivery. Message me and I will fix it same day. I have personally tested every configuration I deliver so issues are rare — but I am here if anything comes up.

