AI/ML Engineer (Hybrid NLP + Classification)
Tasks
- Build ML classification pipeline
- Build text classification model
- Create AI model design document
- Design AI/ML architecture
- Design model feedback loop for operator corrections
- Develop catalog code mapping engine
- Develop rule based NLP keyword extraction
- Implement anomaly detection module
- Retrain ML model with feedback
- Wrap ML model as microservice
Perks/Benefits
Skills/Tech-stack
Anomaly Detection | HuggingFace Transformers | Language Processing | Machine Learning | Microservices | Natural Language | Natural Language Processing | NumPy | Pandas | Python | REST API | Regular Expressions | Scikit-learn | Spacy | Text Classification
Education
N/A
Roles
AI | AI/ML Engineer | Engineer | Learning Engineer | ML Engineer | Machine Learning Engineer
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