Junior Solutions Architect - MLOps & Real-Time Data Integration
Tasks
- Build proof of concepts and reference architectures
- Build streaming data architectures
- Conduct architecture reviews and implementation planning
- Configure and optimize data pipelines
- Create technical documentation and architecture diagrams
- Design real time data integration solutions
- Develop data pipelines for machine learning workflows
- Enable model inference for real time AI applications
- Evaluate emerging AI MLOps and streaming technologies
- Implement Change Data Capture CDC pipelines
- Perform feature engineering
- Troubleshoot data pipelines in cloud and hybrid environments
Perks/Benefits
- Dental insurance
- Flexible spending account
- Health insurance
- Paid time off
- Stock options
- Vision insurance
Skills/Tech-stack
Amazon Redshift | Amazon SageMaker | Amazon Web Services | Azure Machine Learning | Azure Synapse | BigQuery | CI/CD | Change Data Capture | Cloud platform | Data Capture | Data Engineering | Data Pipelines | Data Streaming | Data integration | Databricks | Docker | Event Driven | Event-driven architecture | Feature Engineering | Git | Google Cloud | Google Cloud Platform | JSON | Java | Kubeflow | Kubernetes | MLflow | Machine Learning | Microsoft Azure | Model Deployment | Model Inference | Model Monitoring | NoSQL | Python | REST API | Real Time | Real-Time Data Streaming | Real-time Data | SQL | Snowflake | Vertex AI | Web Services
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
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