Part-Time AI/ML Full Stack Developer

I’m looking for an experienced full-stack AI/ML developer who can dedicate part-time hours during Central Time. Your immediate focus will be hands-on data analysis of well-structured datasets that live in our relational databases and spreadsheets. You’ll be expected to explore, clean, and transform this data in Python using pandas, then turn it into clear insights or prototype models that the rest of the team can act on.

Because we operate in CST, I’ll need you available for regular check-ins, code reviews, and the occasional real-time pair-session. Fluent English is a must—we move quickly and rely on concise discussion to scope experiments and share findings with non-technical stakeholders.

Typical workflow
• Pull data from our existing SQL sources or flat files
• Write reproducible notebooks / scripts in pandas for wrangling, feature engineering, and exploratory analysis
• Push code to our Git repo and document results so others can rerun or extend your work
• When the analysis suggests a predictive angle, sketch lightweight models or pipelines that I can hand off for production hardening

Acceptance criteria for each task will be:
1. Clean, well-commented Python code that runs end-to-end on the provided sample data.
2. A short written summary or Jupyter notebook explaining key findings, charts, or model metrics.
3. All deliverables committed to Git with clear instructions on dependencies.

If you’re comfortable juggling data exploration and early-stage modeling while collaborating in real time, let’s talk and set up our first sprint.