Data Scientist II
Tasks
- Apply MLOps testing monitoring practices
- Build and deploy production AI ML systems
- Contribute to team code quality and standards
- Evaluate emerging AI tools and frameworks
- Own model development from prototype to deployment
- Scope AI solution trade offs
- Translate business problems into analytical approaches
Perks/Benefits
- N/A
Skills/Tech-stack
Azure AI | Azure Databricks | Azure Kusto | Azure Machine Learning | Azure Synapse | Azure Synapse Analytics | CI/CD | Data Drift | Data Drift Detection | Deep learning | Drift Detection | Generative AI | Integer Programming | Linear Programming | MLOps | Machine Learning | Microsoft Fabric | Mixed Integer | Mixed-Integer Programming | Model Monitoring | Model retraining | Optimization | Python | Simulation | Synapse Analytics
Education
Bachelor of Engineering | Bachelor of Science | Master of Science | PhD
Roles
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