Principal Engineer - AI/ML and Data Science
08579 Minneapolis Headquarters 901, United States
USD 140K-192K Senior-level Full Time
Tasks
- Architect end-to-end AI solutions
- Build predictive analytics and machine learning models
- Coach and mentor engineering staff
- Deploy and monitor machine learning models
- Design cloud-native AI architectures
- Design real-time streaming data pipelines
- Ensure designs meet security and enterprise standards
- Implement data governance and lineage
- Integrate BI and advanced analytics tools
- Lead proof of concept for AI use cases
- Oversee AI and data analytics technology upgrades and integrations
- Present value of emerging technologies to leadership
- Validate adherence to systems development life cycle methodologies
Perks/Benefits
Skills/Tech-stack
AWS | Automated retraining | Azure | BigQuery | CI/CD | Cloud Native | Cloud Native Architecture | Cloud platform | Data Governance | Data Ingestion | Data Lineage | Dataiku | Denodo | Development Life Cycle | Distributed Computing | Event Hubs | Feature Engineering | Google Cloud | Google Cloud Platform | Kafka | MLOps | Machine Learning | Model versioning | Predictive Analytics | PyTorch | Ray | Real Time | Real-time Streaming | Security Architecture | Snowflake | Spark | Systems Development | Systems Development Life Cycle | TensorFlow
Education
N/A
Regions
Countries
States
Cities
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