Artificial Intelligence/Machine Learning Engineer
Austin, TX, United States
R
USD 119K-200K (estimate) Senior-level Full Time
Tasks
- Build AI assisted field mapping tooling
- Deploy AI pipeline artifacts and tooling
- Design ML anomaly detection pipelines
- Develop automated data quality scoring pipelines
- Develop automated reconciliation exception classification workflows
- Implement LLM evaluation and judge model scoring
- Maintain production model monitoring for drift detection
- Produce technical documentation for AI pipeline logic
- Provide executive level dashboard reporting
- Translate stakeholder control scenarios into validation logic
Perks/Benefits
Skills/Tech-stack
AKS | Anomaly Detection | Artificial Intelligence | Azure Data | Azure Data Factory | Azure Databricks | Azure Functions | Azure Machine Learning | Azure Monitor | Azure Purview | Azure Service | Azure Service Bus | Azure Synapse | Azure Synapse Analytics | CI/CD | Cause analysis | Data Factory | Data Lineage | Data Quality | Data Reconciliation | Delta Lake | Docker | Drift Detection | Git | Gradient boosting | Great Expectations | LLM Evaluation | MLflow | Machine Learning | Model Drift | Model Drift Detection | Oracle | PLSQL | PyTorch | Pytest | Python | Query Optimization | Root Cause Analysis | Root cause | SQL Server | Scikit-learn | Service Bus | Stored Procedures | Synapse Analytics | T-SQL
Education
N/A
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