AI/ML Engineer – Hybrid, NLP, Classification

This is a fully remote position, open to applicants in Latin America.

📋 Description

• Create the AI/ML Architecture Design Document.

• Suggest an accuracy threshold for the catalog mapping engine.

• Develop a 4-tier catalog code mapping engine for various SAP catalog types.

• Execute the AI anomaly detection module.

• Design and implement a "Train Model" feedback loop that allows operator corrections to retrain the model.

• Package the model as a microservice for integration with the main application.

⛳️ Requirements

• Experience in NLP / text classification using Python (scikit-learn or HuggingFace transformers).

• Ability to produce AI architecture documentation: a clear model design document that is accessible to non-technical stakeholders.

• Proficiency in rule-based NLP techniques (keyword extraction, regex, scoring logic).

• Familiarity with ML classification pipelines (training data preparation, evaluation, tuning).

• Knowledge of anomaly detection techniques in tabular data.

• Proficient in the Python data science stack (pandas, numpy, scikit-learn, with optional experience in spaCy).

• Experience in designing model feedback loops.

• Skills in API / microservice integration of an ML model.

🏝️ Benefits

• Fully remote work opportunity.

• Compensation in USD.