DATA 部門 - AI Engineer
Tasks
- Automate testing and deployment
- Build generative AI applications
- Build real-time and batch inference pipelines
- Deploy predictive analytics solutions
- Design machine learning models
- Develop serverless orchestration layers
- Enable low latency retrieval with AI search
- Implement model versioning and monitoring
- Implement retrieval augmented generation systems
- Ingest and process high volume datasets
- Integrate AI workflows into CI CD pipelines
- Integrate data pipelines with AI workflows
- Manage model lifecycle
Perks/Benefits
- N/A
Skills/Tech-stack
AI Foundry | AI Search | Apache Spark | Azure AI | Azure AI Foundry | Azure AI Search | Azure Cosmos | Azure Cosmos DB | Azure Data | Azure Data Lake | Azure Data Lake Storage | Azure Databricks | Azure DevOps | Azure Functions | Azure Machine Learning | Azure OpenAI | Azure OpenAI Service | Azure Synapse | Azure Synapse Analytics | CI/CD | CSV | Cosmos DB | Data Lake Storage | Generative AI | GitHub Actions | MLOps | Machine Learning | Model Monitoring | Model versioning | OpenAI Service | Parquet | Predictive Analytics | Python | Retrieval-Augmented Generation | Scala | Synapse Analytics
Education
N/A
Roles
AI | AI Engineer | Engineer | Learning Engineer | Machine Learning Engineer
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