Principal Data Product Manager, Applied AI
Tasks
- Build NLP and ML pipelines
- Drive quality governance for AI products
- Extract structured data from unstructured interactions
- Facilitate AI prototyping and experimentation
- Generate embeddings for text data
- Maintain guidance library for NLP and prompting
- Monitor production output drift
- Own applied AI data product portfolio
- Partner with data engineering for production handoff
- Prototype AI enriched data products
- Train classifiers for text classification
- Validate experiments with stakeholders
Perks/Benefits
Skills/Tech-stack
Data Drift | Data drift monitoring | Drift monitoring | Embeddings | Hugging Face | Human-in-the-loop | Information Extraction | LLM Evaluation | Labeling | Language Models | Language Processing | Large Language Models | Machine Learning | Model Evaluation | Natural Language | Natural Language Processing | Prompt engineering | Python | SQL | Scikit-learn | Sentence Transformers | Sentiment Analysis | Spacy | Text Classification | The Loop
Education
N/A
Regions
Countries
States
Cities
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