Production MLOps Pipeline & Model Deployment by Mahdi BettaharProduction MLOps Pipeline & Model Deployment by Mahdi Bettahar
Production MLOps Pipeline & Model DeploymentMahdi Bettahar
Cover image for Production MLOps Pipeline & Model Deployment
Stop leaving valuable machine learning models sitting idle in research notebooks.
I help businesses turn experimental AI and predictive models into reliable, production-ready systems that integrate directly into live products, mobile apps, or internal tools. Your team gets a dependable, scalable engine running 24/7 with zero guesswork, minimal operational overhead, and predictable cloud costs.
What you get with this service:
Production-Ready Endpoints: A fast, secure API connection so your applications can send data and receive real-time predictions in milliseconds.
Stable, Cloud-Ready Packaging: Fully containerized setup that runs reliably in any cloud environment without breaking across updates or system changes.
Audit-Proof Tracking & Reproducibility: Integrated version history for datasets and model iterations, ensuring full traceability of every prediction.
Automated Quality Checks: Pre-release verification pipelines that catch bugs, run validation tests, and prevent breaking changes before anything goes live.
Turnkey Deployment & Clear Documentation: Complete launch on your preferred cloud infrastructure, accompanied by plain-language instructions so your team can maintain it effortlessly.
How we work together:
Scope & Goals: We identify your current model, where it needs to deliver value, and your performance expectations.
Implementation & Hardening: I build the delivery pipeline, package the model, and implement automated safety checks.
Launch & Verification: We deploy to production, verify live performance, and hand over a
Starting at$650
Duration5 days
Tags
MLOps, FastAPI, Docker, Machine Learning, CI/CD
Service provided by
Mahdi Bettahar Bab Ezzouar, Algeria
1
Followers
Production MLOps Pipeline & Model DeploymentMahdi Bettahar
Starting at$650
Duration5 days
Tags
MLOps, FastAPI, Docker, Machine Learning, CI/CD
Cover image for Production MLOps Pipeline & Model Deployment
Stop leaving valuable machine learning models sitting idle in research notebooks.
I help businesses turn experimental AI and predictive models into reliable, production-ready systems that integrate directly into live products, mobile apps, or internal tools. Your team gets a dependable, scalable engine running 24/7 with zero guesswork, minimal operational overhead, and predictable cloud costs.
What you get with this service:
Production-Ready Endpoints: A fast, secure API connection so your applications can send data and receive real-time predictions in milliseconds.
Stable, Cloud-Ready Packaging: Fully containerized setup that runs reliably in any cloud environment without breaking across updates or system changes.
Audit-Proof Tracking & Reproducibility: Integrated version history for datasets and model iterations, ensuring full traceability of every prediction.
Automated Quality Checks: Pre-release verification pipelines that catch bugs, run validation tests, and prevent breaking changes before anything goes live.
Turnkey Deployment & Clear Documentation: Complete launch on your preferred cloud infrastructure, accompanied by plain-language instructions so your team can maintain it effortlessly.
How we work together:
Scope & Goals: We identify your current model, where it needs to deliver value, and your performance expectations.
Implementation & Hardening: I build the delivery pipeline, package the model, and implement automated safety checks.
Launch & Verification: We deploy to production, verify live performance, and hand over a
$650