AI Engineer (Google Cloud)
Tasks
- Build dashboards with Looker
- Build generative AI models
- Create and execute test cases
- Design AI/ML solutions
- Design scalable ETL pipelines
- Develop Bayesian models
- Develop marketing analytics workflows
- Evaluate model efficacy with experiments
- Generate hypotheses from historical data
- Implement Google Tag Manager and Google Analytics 4
- Implement vector retrieval with embeddings
- Integrate AI models with data pipelines
- Perform prompt engineering
- Prototype AI solutions with proofs of concept
- Troubleshoot AI model and pipeline issues
Perks/Benefits
- Community engagement
- Employee events and activities
- Employer Paid Benefits
- Flexible remote work
- Lunch and learns
- Standing desks
Skills/Tech-stack
AI Pipelines | Bayesian Modeling | Bias Mitigation | BigQuery | CI/CD | Causal Inference | Cloud Build | Cloud Storage | Data Pipelines | ETL | Embeddings | Generative AI | Google Analytics | Google Analytics 4 | Google Tag | Google Tag Manager | Looker | MLOps | Machine Learning | Probabilistic Inference | Prompt engineering | Python | Responsible AI | SQL | Series forecasting | Tag Manager | Time Series | Time Series Forecasting | Transformer Models | Vector Databases | Vertex AI | Vertex AI pipelines
Education
N/A
Roles
AI | AI Engineer | Engineer | Learning Engineer | Machine Learning Engineer
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