AI/ML Engineer (Hybrid NLP + Classification)

About this role

Hi there :)

Thanks for checking in to find out about our open position. We´ll provide as much information as possible, but please feel free to reach us if you have further questions. We´ll be happy to see your application, even if there are skills you don't quite master!

About Us

At South Geeks, we engage top-performing Software Engineers, Security Experts, and Data Analysts from Latin America to join our clients' teams worldwide. For over 8 years, we've been helping future-shaping companies scale faster by curating world-class tech talent and building long-lasting, strategic partnerships. We pride ourselves on a people-centered culture that powers innovation, collaboration, and excellence.

About the Client

Our client is a Fortune 500 global energy company running a strategic initiative to migrate historical Plant Maintenance data into SAP S/4HANA through a governed, auditable web application integrated with SAP CPI. The work runs in 8 Agile-Scrum sprints over 16 weeks, fully remote, with a small senior team operating end to end.

About the Role

We are looking for a part-time AI/ML Engineer to design and build the AI component of the platform: a hybrid rule-based plus ML system that maps contractor free-text into a 4-tier SAP catalog hierarchy, flags anomalies, and learns from operator corrections.

Assignment Highlights

• 3-month engagement
• 6 to 10 hours per week during active phases
• 100% remote, Eastern Time overlap for gate and sprint reviews
• BYOD

Key Responsibilities

• Author the AI/ML Architecture Design Document

• Recommend an accuracy threshold for the catalog mapping engine.

• Build the 4-tier catalog code mapping engine for SAP catalog types.

• Implement the AI anomaly detection module.

• Design and implement the "Train Model" feedback loop where operator corrections retrain the model.

• Wrap the model as a microservice for the main app.

What You Need to Succeed in This Role

• NLP / text classification in Python...