AI/ML Engineer (Hybrid NLP + Classification)

📋 Job Overview

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 South Geeks

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.

🎯 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.

📌 Required Qualifications

• NLP / text classification in Python (scikit-learn or HuggingFace transformers).
• AI architecture documentation: a clean model design doc readable by non-technical reviewers.
• Rule-based NLP (keyword extraction, regex, scoring logic).
• ML classification pipeline (training data preparation, evaluation, tuning).
• Anomaly detection in tabular data.
• Python data science stack (pandas, numpy, scikit-learn, optionally spaCy).
• Model feedback loop design.
• API / microservice wrapping of an ML model.

⭐ Desirable Experience

• precision/recall trade-off framing for catalog mapping
• SAP catalog code domain knowledge.

🎁 Benefits

100% remote work
Payment in USD

🛂 Visa & Eligibility

This position is available for candidates based in LATAM.