South Geeks
Tech / AI / Software
AI/MLEngineer(HybridNLP+Classification)
Neural analysis suggests this role is
optimal for Mid+ candidates.
“AI/ML Engineer (Hybrid NLP + Classification) at South Geeks. Skills: AI/ML Engineering, NLP, Classification, Anomaly Detection, Python. Design and build the AI component of the platform. Map contractor free-text into a 4-tier SAP catalog hierarchy”
What You'll Achieve.
Accurate catalog mapping; Effective anomaly detection; Model that learns from operator corrections
Industry & Context.
Anomaly detection; Mapping free-text to hierarchy
Part-time role, 4-month engagement, 6 to 10 hours per week during active phases, Eastern Time overlap for gate and sprint reviews, BYOD, Based in LATAM
What They're Looking For.
Must Have
NLP / text classification in Python, AI architecture documentation, 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
Nice to Have
precision/recall trade-off framing for catalog SAP catalog code domain knowledge
What You'll Do.
Design and build the AI component of the platform
Map contractor free-text into a 4-tier SAP catalog hierarchy
Learn from operator corrections
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
How You'll Work.
Team & Collaboration
Work with a small senior team operating end to end; Engage with operators for feedback
Communication Scope
AI architecture documentation readable by non-technical reviewers
Process & Methodology
Agile-Scrum methodology
Full Job Description
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 Us 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. About the Client Our client is a Fortune 500 global energy company running a strategic initiative to migrate historical Plant Maintenance data into SAP S/4HANA through a governed, auditable web application integrated with SAP CPI. The work runs in 8 Agile-Scrum sprints over 16 weeks, fully remote, with a small senior team operating end to end. About 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. This is a 4-month engagement and your active participation spans SP0 through SP3 (W1 to W10), at roughly 6 to 10 hours per week during active phases. Assignment Highlights - 6 to 10 hours per week during active phases; 60 hours total - 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
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