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MLOps
The infrastructure and discipline that keeps ML models accurate, monitored, and cost-effective in production.
What This Service Delivers
Most ML projects fail after deployment, not before. MLOps puts in place the pipelines, monitoring, evaluation, and governance that keep your models performing — with retraining loops, drift detection, and cost controls.
View this service as...
Investment
$15,000 – $80,000
Timeline
4–16 weeks
Expected outcome
Automated retraining when data drifts, with versioning and rollback.
Key risks to plan for
Model development itself · 24/7 platform operations (add Support) · Data engineering at scale
Retraining pipelines
Automated retraining when data drifts, with versioning and rollback.
Monitoring & alerting
Model quality, latency, and cost dashboards that tell you when something is wrong.
Governance & audit
Versioned experiments, approvals, and audit trails for regulated environments.
Cost optimization
Right-sized infrastructure and inference cost controls.
Investment & Timeline
Starting from
$15,000
Typical project range
$15,000 – $80,000
Typical timeline
4–16 weeks
What's included
- ✓ Platform architecture
- ✓ Pipelines and CI/CD
- ✓ Monitoring and alerting
- ✓ Governance setup
What's not included
- ✕ Model development itself
- ✕ 24/7 platform operations (add Support)
- ✕ Data engineering at scale
Factors affecting price
Number of models in productionCompliance requirementsCloud/platform complexity
What You Get
ML platform architecture
CI/CD for ML (training, testing, deployment)
Feature store and experiment tracking
Monitoring dashboards and alerts
Governance and audit processes
Team enablement documentation
Technology
MLflowKubernetesTerraformAWS/Azure/GCPPrometheus/GrafanaPython
Industries
Related Services
Frequently Asked Questions
Do you work with our existing ML stack?
Yes — we are cloud-agnostic and integrate with your existing model training, serving, and data tooling.
How do you handle model drift?
Automated drift detection triggers retraining pipelines, with approval gates and rollback to the last good version.
What does MLOps cost?
Most engagements range from $15,000 to $80,000 depending on the number of models and compliance requirements.
Your Service Lifecycle
Related Resources
Ready to get started with mlops?
$15,000 – $80,000 typical range · 4–16 weeks typical timeline. Book a call and we'll scope the highest-value version of this work.