Data & AI Engineer
Tasks
- Apply machine learning for forecasting clustering anomaly detection
- Build OCR and document parsing pipelines
- Build event driven ingestion patterns
- Collaborate with clients to shape solutions
- Deploy and operate Azure workloads on AKS
- Design and build data pipelines
- Develop dataflows
- Implement NLP and document understanding solutions
- Package inference services for deployment
- Support training and retraining pipelines
- Track machine learning experiments with MLflow
Perks/Benefits
- N/A
Skills/Tech-stack
AKS | Anomaly Detection | Azure | Azure Data | Azure Data Factory | Azure DevOps | Azure Functions | Azure Queues | CI/CD | Clustering | Data Factory | Databricks | Dataflows Gen2 | Delta Lake | Docker | Docker Compose | Entity recognition | Feature Engineering | Forecasting | GitHub Actions | MLflow | Microsoft Fabric | Model Monitoring | Named Entity Recognition | OCR | OneLake | PySpark | Python | SQL | SparkSQL | Transformers
Education
N/A
Roles
AI | AI Engineer | Data Engineer | Engineer | Learning Engineer | Machine Learning Engineer
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