AI/ML Engineer – Hybrid, NLP, Classification

Job not on LinkedIn

🕒 May 5

💃 Latin America – Remote

⏱ Part Time

🟡 Mid-level

🟠 Senior

🤖 Machine Learning Engineer

👻 Ghost score 33%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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South Geeks

WebsiteLinkedInAll Job Openings

11 - 50 employees

🎯 Recruiter

☁️ SaaS

🏢 Enterprise

Recruitment • SaaS • Enterprise

South Geeks is a company that excels at building high-performing software development teams by bridging Latin American talent with global opportunities, enabling successful partnerships. With a strong emphasis on putting people first, South Geeks provides a customized approach to connecting skilled software developers with clients, ensuring the best culture and talent fit for collaborative team building. They are committed to long-term relationships, making ongoing efforts to help team members grow and succeed professionally. South Geeks prides itself on a low attrition rate due to its supportive and rewarding work environment, and its focus on strong communication and in-demand capabilities. They employ mid to senior-level software developers, testers, data scientists, and DevOps specialists, continuously developing their skills under the guidance of performance coaches. South Geeks is known for its people-focused, curated approach to staffing, making both clients and staff feel valued and supported. With a leadership team from Latin America, they truly understand and respect the culture and the people they work with, enhancing the overall experience for both engineers and clients.

📋 Description

• Design and build the AI component of a platform for migrating historical Plant Maintenance data into SAP S/4HANA • 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 so operator corrections retrain the model • Wrap the model as a microservice for the main application • Work with a small senior team across 8 Agile-Scrum sprints over 16 weeks

🎯 Requirements

• NLP / text classification in Python using scikit-learn or HuggingFace transformers • AI architecture documentation readable by non-technical reviewers • Rule-based NLP, including keyword extraction, regex, and scoring logic • ML classification pipeline, including training data preparation, evaluation, and 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 • Candidates based in LATAM • Eastern Time overlap for gate and sprint reviews • SAP catalog code domain knowledge is nice to have • Precision/recall trade-off framing for catalog mapping is nice to have

🏖️ Benefits

• 100% remote work • Payment in USD • Personal and professional development with individualized support • BYOD (bring your own device)