Note: The job is a remote job and is open to candidates in USA. South Geeks connects software engineers, security experts, and data analysts from Latin America with clients worldwide. The company is seeking a part-time AI/ML Engineer to design and build a hybrid rule-based and machine learning system for mapping contractor free text into a four-tier SAP catalog hierarchy. The role includes anomaly detection, model retraining through operator feedback, and deploying the model as a microservice.
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
Skills
- 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
- This position is available for candidates based in LATAM
- Nice to have: precision/recall trade-off framing for catalog mapping; SAP catalog code domain knowledge
Benefits
- 100% remote work
Company Overview