Principal Consultant - Data Scientist Lead
Tasks
- Design diagnostics and optimization for Google Cloud compute storage and network
- Develop validate and deploy fraud and machine learning models end to end
- Implement CI CD automated testing modular design and code review
- Implement monitoring and observability for cost performance and reliability
- Optimize data pipelines for ingest transformation feature creation training and inference
- Optimize fraud models performance reliability and run cost
- Provide configuration level and code level guidance with implementation effort and expected savings
- Reduce compute requirements and accelerate inference
- Tune large scale batch and streaming workloads using Spark
Perks/Benefits
Skills/Tech-stack
Apache Spark | Automated testing | CI/CD | Cloud Compute Engine | Cloud Storage | Cloud platform | Code review | Compute Engine | Continuous Delivery | Continuous integration | Cost Optimization | Data pipeline | Feature Engineering | Fraud Detection | Google Cloud | Google Cloud Compute | Google Cloud Compute Engine | Google Cloud Platform | Machine Learning | Machine Learning Pipelines | Model Deployment | Model Monitoring | Networking | Observability | Python | SQL
Education
N/A
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