You will get AWS SageMaker Monthly Monitoring & Optimization
Project details
A one-time audit finds what is wrong. A monthly
retainer keeps it from coming back.
SageMaker costs and security configurations drift
without ongoing oversight. New endpoints get
deployed, training jobs accumulate, and IAM roles
accumulate permissions over time.
What you get each month:
• Live dashboard refreshed monthly — Cost,
Security, and Executive Overview tabs
• Monthly PDF findings report with cost trends
and optimization recommendations
• Ongoing access for questions
• Quarterly security posture review
3-month minimum. Most clients stay 6–12 months
once they see the compounding value.
New clients are encouraged to start with a Cost
Audit or Cost + Security Audit before beginning
a retainer to establish a clean baseline.
retainer keeps it from coming back.
SageMaker costs and security configurations drift
without ongoing oversight. New endpoints get
deployed, training jobs accumulate, and IAM roles
accumulate permissions over time.
What you get each month:
• Live dashboard refreshed monthly — Cost,
Security, and Executive Overview tabs
• Monthly PDF findings report with cost trends
and optimization recommendations
• Ongoing access for questions
• Quarterly security posture review
3-month minimum. Most clients stay 6–12 months
once they see the compounding value.
New clients are encouraged to start with a Cost
Audit or Cost + Security Audit before beginning
a retainer to establish a clean baseline.
AI Development Type
Model Tuning, Software MaintenanceAI Tools
Amazon SageMaker, MLflow, NVIDIA AI PlatformAI Development Language
PythonWhat's included
| Service Tiers |
Starter
$1,500
|
Standard
$2,500
|
Advanced
$4,000
|
|---|---|---|---|
| Delivery Time | 30 days | 30 days | 30 days |
Number of Revisions | 1 | 1 | 2 |
AI Model Integration | - | - | - |
Detailed Code Comments | - | - | - |
Knowledge Graph | - | - | - |
Model Documentation | |||
Ontology | - | - | - |
Source Code | - | - | - |
Taxonomy | - | - | - |
Optional add-ons
You can add these on the next page.
Second AWS Account
+$500
Findings Presentation
+$250
Remediation Support
+$750Frequently asked questions
About Jose
AI Engineer | LLM Apps, AWS, MLOps | Scalable & Cost-Efficient Systems
Las Vegas, United States - 2:30 am local time
I help companies build and scale AI systems that are reliable, secure, and cost-efficient from day one.
Whether you're building an LLM-powered app, deploying models on AWS, or fixing a system that isn’t performing as expected — I focus on making sure it actually works in real-world conditions.
What I can help you with:
• AI / LLM applications (RAG systems, chatbots, APIs)
• Backend development for AI systems (FastAPI, Django)
• Deploying and scaling models on AWS (SageMaker, ECS, EKS)
• MLOps pipelines (CI/CD, automation, monitoring)
• Performance optimization and cost control
• Securing AI systems (VPC, IAM, encryption)
Recent outcomes:
• Built and deployed scalable AI backends for production use
• Reduced infrastructure costs by 30–50%
• Reduced inference endpoint costs by 40% through autoscaling + right-sizing
• Improved performance and reliability of deployed systems
Tech stack:
Python, pandas, FastAPI, Django, AWS (SageMaker, Lambda, ECS, EKS, Bedrock), Terraform, Docker, PostgreSQL
If you're building an AI product and want it to actually scale and perform — I can help.
Happy to review your current setup and point out quick wins before any engagement.
Steps for completing your project
After purchasing the project, send requirements so Jose can start the project.
Delivery time starts when Jose receives requirements from you.
Jose works on your project following the steps below.
Revisions may occur after the delivery date.
Onboarding
Read-only IAM access configured across your account(s). Baseline dashboard established from your current SageMaker environment. Monthly reporting schedule confirmed.
Monthly Cost Review
SageMaker resource utilization reviewed against prior month. New endpoints, training jobs, and notebooks analyzed for cost efficiency and rightsizing opportunities.