Manager, Data Engineer
Tasks
- Build decision support AI agents
- Build validate deploy machine learning models
- Collaborate with stakeholders on business use cases
- Design prescriptive analytics solutions
- Develop predictive models
- Develop reusable analytics products
- Develop scalable AI solutions
- Enable business users on AI tools
- Implement retrieval-augmented generation
- Improve model accuracy and explainability
- Orchestrate agentic AI workflows
- Support AI productionization
Perks/Benefits
Skills/Tech-stack
AI Services | AI orchestration | Agent systems | Azure AI | Azure AI Services | Bayesian | Classification | Databricks | Deep learning | Git | LIME | Language Models | Large Language Models | LightGBM | MLOps | MLflow | Machine Learning | Microsoft Fabric | Multi-Agent | Multi-Agent Systems | Optimization | Power BI | Prompt engineering | Pulp | Pyomo | Python | Random Forest | Regression | Retrieval-Augmented Generation | SHAP | SQL | SciPy | Series forecasting | Time Series | Time Series Forecasting | XGBoost
Education
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