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bigquery nlp azure aws python📋 Description
- Senior ML Engineer to own design/implementation of AI and GenAI components for contextual personalization and insights.
- Design, develop, and enhance ML/AI models for predictions and personalized experiences.
- Process historical data, product catalog, and user behavior to extract relations/features.
- Research cutting-edge ML techniques and run quick PoCs.
- Collaborate with ML Engineers to scale components to production handling TB-scale data.
- Stay current by reading papers and attending AI/ML conferences.
🎯 Requirements
- BS/MS in CS or related, strong math; Python
- 3+ years ML-driven, scalable algorithms in industry
- GenAI/LLMs expertise; GenAI stack credentials
- ML/NLP: classification, information retrieval, clustering, knowledge graph, ranking
- DL stack: PyTorch/TensorFlow/Keras; Transformers
- Cloud infra: AWS/GCP/Azure; BigQuery; SQL
🎁 Benefits
- Freedom and trust; results-driven culture
- Flexible hours; virtual-first with Bloomreach hubs
- 5 values and 10 key behaviors embedded in processes
- Virtual-first with Bloomreach hubs across three continents
- 5 paid volunteering days per year
- Extended parental leave up to 26 weeks
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