AI/ML Engineer (Hybrid NLP + Classification)
South Geeks4 days ago
Remote, WorldwideEntry Level / Mid Level
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 for operator corrections.
- Wrap the model as a microservice for the main app.
Requirements
- Experience with NLP and text classification in Python using scikit-learn or HuggingFace transformers.
- Ability to create AI architecture documentation for non-technical reviewers.
- Knowledge of rule-based NLP techniques such as keyword extraction and regex.
- Experience with ML classification pipelines including data preparation and tuning.
- Familiarity with anomaly detection in tabular data.
- Proficiency in the Python data science stack including pandas and numpy.
- Experience in designing model feedback loops.
- Ability to wrap ML models as APIs or microservices.
Benefits
- 100% remote work.
- Payment in USD.