AI Engineer
Tasks
- Build conversational agents
- Create AI pipelines
- Define AI use cases
- Deploy AI models
- Design AI solutions
- Develop Power Automate flows
- Ensure AI security and compliance
- Evaluate AI tools and frameworks
- Fine-tune AI models
- Integrate AI with enterprise workflows
- Integrate with Azure data services
- Integrate with Snowflake Cortex AI
- Monitor AI solutions
- Translate requirements into technical specifications
Perks/Benefits
Skills/Tech-stack
.NET | AI Foundry | AI Search | Azure AI | Azure AI Foundry | Azure AI Search | Azure OpenAI | Azure OpenAI Service | CI/CD | Copilot Studio | Cortex AI | Fine Tuning | Git | Hybrid search | LLMOps | Langchain | MLOps | Microsoft 365 | Microsoft Copilot | Microsoft Copilot Studio | Microsoft Dataverse | Microsoft Teams | Model Monitoring | OpenAI Service | Power Automate | Prompt Flow | Prompt engineering | Python | SQL | Semantic Kernel | SharePoint | Snowflake | Snowflake Cortex | Snowflake Cortex AI | Snowflake ML | Snowflake ML Functions | Vector Search
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
AI | AI Engineer | Engineer | Learning Engineer | Machine Learning Engineer
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