CI/CD for machine learning, drift detection, and automated retraining pipelines — because a model that isn't monitored is a model quietly getting worse.
About This Service
Most ML projects fail after deployment, not before. A model that scored 94% accuracy in testing degrades silently as real-world data drifts, and nobody notices until customer complaints pile up. iMOBDEV's MLOps practice exists to prevent exactly that: we build CI/CD pipelines for model training and deployment, automated monitoring for data drift and prediction quality, versioned model registries, and retraining triggers that fire before accuracy visibly degrades. We work with teams that already have models built by in-house data scientists and need production infrastructure around them, as well as teams starting from scratch who want deployment discipline built in from day one. Either way, the goal is the same: models that stay accurate, deployments that are reproducible, and rollbacks that take minutes, not days.
What's Included
A full breakdown of every deliverable — no hidden extras, no scope surprises.
Automated training, testing, and deployment pipelines for models using MLflow, Kubeflow, or SageMaker Pipelines
Real-time monitoring for data drift, concept drift, and prediction quality degradation with alerting
Centralized feature stores and versioned model registries for reproducibility and team collaboration
Trigger-based retraining workflows that fire on drift detection or scheduled cadence, with automated validation
Scalable training and inference infrastructure on AWS SageMaker, GCP Vertex AI, or Azure ML
Audit trails, explainability reporting, and access controls for regulated industries deploying ML at scale
Why Work With Us
Automated drift detection flags accuracy degradation early — before it shows up as customer complaints or bad decisions.
Every model version, dataset, and config is tracked, so you can trace exactly what's running in production at any time.
Versioned model registries mean a bad deployment rolls back to the last known-good model in minutes, not a fire drill.
We integrate with your existing data science workflows and models — no forced rewrite to adopt production discipline.
Full lineage from training data to deployed prediction, built for industries where model decisions get audited.
Deep dive into your goals, users, and constraints. Deliverable: detailed project brief and technical specification.
System architecture, API contracts, UI/UX wireframes reviewed with your team before a line of code is written.
2-week sprints with daily standups. Working software demonstrated every sprint — full visibility throughout.
Automated unit and integration tests plus manual QA each sprint. Zero critical bugs shipped to production.
CI/CD pipeline, cloud provisioning, zero-downtime deployment. Launch day is never a surprise.
Post-launch monitoring, performance optimization, and ongoing feature roadmap execution.
Engagement Models
Three ways to engage — pick what fits your project, timeline, and budget.
One or more senior developers assigned full-time to your project — embedded in your workflow, shipping on your timeline.
Pay as you go. Ideal for short bursts, quick iterations, or when scope is still taking shape.
Defined scope, locked budget, predictable delivery date. No surprises — just a clear SOW and milestone sign-offs.
Free consultation · No commitment · Response within 1 business day
Industries
We bring deep domain knowledge across every major industry vertical — not just technical execution.
We don't retrofit AI; we design for it from day one — architecture, data, and UX.
Agile sprints with clear milestones, transparent reporting, and zero deadline surprises.
No hidden costs. Fixed-price or dedicated team models — you choose what fits.
India-based delivery excellence with US and UAE client engagement offices.
ISO 27001-compliant, NDA-ready, GDPR-aware — secure by design at every layer.
We're a long-term partner, not a one-and-done vendor. We grow as you grow.
Client Stories
“iMOBDEV delivered our AI-powered fintech app 2 weeks ahead of schedule. The quality is exceptional — it feels like a product from a top Silicon Valley company.”
Sarah Mitchell
CTO, PayEdge Finance
Insights
Let's Build Together
Tell us what you're building. Our team will review your requirements and get back to you with a detailed approach — no generic proposals, no overselling.
4.9/5
Clutch Rating
200+
Happy Clients
17+
Years Experience
