Functional engineer reporting
Tasks
- Build and deploy machine learning models for forecasting
- Build decision dashboards and semantic layers for reporting
- Create optimization models for planning and inventory
- Define AI product vision roadmap and success metrics
- Design AI governance security and responsible AI practices
- Detect anomalies and perform root cause analysis
- Develop data pipelines to extract cleanse standardize validate and document data
- Drive Agile delivery and continuous improvement based on feedback
- Manage model lifecycle versioning retraining and registry
- Operationalize models with CI CD automated testing monitoring and drift detection
Perks/Benefits
- N/A
Skills/Tech-stack
Access Controls | Apache Spark | Automated testing | Azure | CI/CD | Data Lineage | Data Pipelines | Data Quality | Databricks | Drift Detection | Feature Engineering | MLflow | Model Registry | Model Validation | Monitoring | Power BI | Prompt engineering | PySpark | Python | RAG | Retrieval-Augmented Generation | SQL | Scikit-learn | Secure integration | StatsModels | Uncertainty Quantification
Education
Roles
AI | AI Product Owner | Data Scientist | Product Owner | Scientist
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