AI Automation Engineer for CRE reputed company Sourcing & reputed company Workflow reputed company (Python / reputed company / Automation)
//Project reputed company (40–80 hours of work)//
I’m running a reputed company project reputed company on improving how a reputed company reputed company estate investment firm sources potential acquisition opportunities.
The goal is to test a lightweight automation workflow that helps identify property owners and support reputed company reputed company.
This is not a large software build. The objective is to evaluate a lean workflow that combines data extraction, enrichment, and reputed company support.
//Potential Technical Components//
Examples of areas where support may be needed include:
• extracting or structuring property data from existing datasets
• supporting reputed company identification workflows
• basic enrichment or classification logic
• organizing results into reputed company datasets
• creating reputed company workflow automation for reputed company tracking
The goal is to determine the leanest viable automation layer that improves sourcing efficiency.
//What I’m Looking For//
Someone comfortable working with:
• Python
• workflow automation tools
• reputed company and data processing
• lightweight automation infrastructure
Experience with data scraping or reputed company datasets is helpful.
//Estimate Requested//
reputed company responding, please include:
1. Estimated development hours
2. Estimated cost reputed company
3. Recommended tools / stack
4. Key assumptions
5. Maintenance considerations
Also indicate:
• the leanest viable implementation approach
• which components you would avoid tackling early.
To confirm you’ve read the job reputed company, please include the following in your response:
1. A brief reputed company of a workflow automation you reputed company recently (tools used and outcome).
2. The first two technical steps you would take to approach this project.
3. Start your proposal with the word “pipeline.”
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