Data & AI Engineer
Tasks
- Apply machine learning techniques for clustering
- Apply machine learning techniques for forecasting
- Apply natural language processing for document understanding
- Build dataflows and data pipeline workflows
- Collaborate with clients to shape solutions
- Design and build data pipelines
- Detect anomalies using machine learning
- Develop data extraction and automation pipelines
- Ensure data quality lineage and observability
- Implement event driven ingestion patterns
- Implement model training and retraining pipelines
- Package and deploy inference services
- Track machine learning experiments
Perks/Benefits
Skills/Tech-stack
AKS | Azure | Azure DevOps | Azure Functions | Azure Queues | CI/CD | Databricks | Delta Lake | Docker | Entity recognition | Feature Engineering | GitHub Actions | Language Processing | MLflow | Machine Learning | Microsoft Fabric | Named Entity Recognition | Natural Language | Natural Language Processing | OCR | OneLake | PySpark | Python | SQL | Transformers
Education
N/A
Roles
AI | AI Engineer | Data Engineer | Engineer | Learning Engineer | Machine Learning Engineer
Regions
Countries
States
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