AI/ML Engineer (Hybrid NLP + Classification)

📋 Description

• Design and build AI component: hybrid rule-based + ML for SAP catalog mapping
• Flag anomalies and learn from operator corrections
• Build the 4-tier SAP catalog code mapping engine
• Implement the AI anomaly detection module
• Design and implement the Train Model feedback loop
• Wrap the model as a microservice for the main app

🎯 Requirements

• NLP / text classification in Python (scikit-learn or HuggingFace transformers)
• AI architecture documentation readable by non-technical reviewers
• Rule-based NLP (keyword extraction, regex, scoring logic)
• ML classification pipeline (training data prep, evaluation, tuning)
• Anomaly detection in tabular data
• Python data science stack (pandas, numpy, scikit-learn, optionally spaCy)

🎁 Benefits

• 100% remote work
• Payment in USD
• BYOD allowed