Senior AI/ML Engineer
Tasks
- Build RAG-architectures
- Conduct technical research and recommend solution options
- Create and maintain technical documentation
- Create data integration workflows
- Deploy and maintain production AI services
- Design and implement AI/ML solutions
- Design and implement LLM applications
- Develop AI agents and intelligent automation
- Improve AI engineering practices
- Integrate AI ML solutions with Azure services
- Perform design and code reviews
Perks/Benefits
- N/A
Skills/Tech-stack
AI Agents | AI Services | API Management | Azure AI | Azure AI Services | Azure API | Azure API Management | Azure Container | Azure Container Apps | Azure Data | Azure Data Factory | Azure Functions | Azure Key Vault | Azure Machine Learning | Azure Monitor | Azure OpenAI | CI/CD | Container Apps | Copilot Studio | Data Factory | Databricks | Deep learning | Embeddings | Intelligent Automation | Key Vault | LLM | LLMOps | Language Processing | MLOps | Machine Learning | Microsoft Fabric | Natural Language | Natural Language Processing | Python | RAG | Semantic Search | Spark | Vector Databases
Education
Roles
AI/ML Engineer | Engineer | ML Engineer | Senior AI/ML Engineer
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