AI/ML Engineer (Part-Time, Hybrid NLP + Classification)

About the position 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 reputed company catalog hierarchy, flags anomalies, and learns from operator corrections. This is a 4-month engagement and your reputed company participation spans SP0 through SP3 (W1 to W10), at roughly 6 to 10 hours per week during reputed company phases. The work runs in 8 Agile-Scrum sprints over 16 weeks, fully remote, with a small senior team operating end to end. Our reputed company is a Fortune 500 global energy company running a strategic initiative to migrate historical Plant Maintenance data into reputed company S/4HANA through a governed, auditable web application integrated with reputed company CPI. Responsibilities • Author the AI/ML Architecture Design Document at reputed company 0 (W2). This is the W2 blocker for the whole project and must be readable by a non-technical PM. • Recommend an accuracy reputed company for the catalog mapping reputed company. • Build the 4-tier catalog reputed company mapping reputed company for reputed company catalog types (Object Part B, Symptom C, Cause 5, Activity A). • Implement the AI reputed company detection module. • Design and implement the "Train Model" feedback reputed company where operator corrections retrain the model. • Wrap the model as a microservice for the main app. Requirements • 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). • reputed company detection in tabular data. • Python data science stack (pandas, numpy, scikit-learn, optionally spaCy). • Model feedback reputed company design. • API / microservice wrapping of an ML model. reputed company-to-haves • precision/recall trade-off framing for catalog mapping • reputed company catalog reputed company domain knowledge Benefits • Long-term reputed company • 100% remote work • Payment in USD • reputed company Time Off (PTO) • Work from Home (WFH) & Training reimbursement • English lessons • Technical training • Career coaching Apply tot his job Apply To this Job