Senior Applied Machine Learning Engineer - Catalogue Intelligence
Tasks
- Build data pipelines and information extraction systems
- Build production machine learning systems
- Deploy scalable testable observable auditable systems
- Design automation with confidence thresholds and monitoring
- Develop pricing competitiveness insights
- Improve product categorisation
- Improve product data quality
- Improve product discoverability
- Increase catalogue coverage and selection
- Maintain documentation evaluation frameworks and versioning
- Structure validate and use product data
Perks/Benefits
Skills/Tech-stack
Airbyte | BigQuery | CI/CD | Computer Vision | Data Pipelines | Data Quality | Ecommerce | GCP | Google Datastream | Information Extraction | Information Retrieval | LLM | Language Processing | Machine Learning | Model Deployment | Model Monitoring | Model versioning | Multimodal Models | Natural Language | Natural Language Processing | Python | SQL
Education
N/A
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