Senior AI/ML Engineer
Tasks
- Build AI agent solutions
- Build intelligent automation workflows
- Conduct code reviews and design reviews
- Deploy and maintain predictive models
- Design and implement AI/ML solutions
- Design and implement LLM applications
- Design and implement RAG architectures
- Develop backend services and APIs
- Gather and clarify AI ML requirements
- Improve AI engineering practices and governance
- Integrate AI ML solutions with Azure services
- Maintain technical documentation and diagrams
- Perform technical research and recommend solutions
- Translate business needs into technical designs
Perks/Benefits
- N/A
Skills/Tech-stack
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 Machine Learning deployment | Azure Monitor | Azure OpenAI | Azure OpenAI embeddings | CI/CD | Container Apps | Copilot Studio | Data Factory | Deep learning | Key Vault | LLMOps | Language Models | Language Processing | Large Language Models | MLOps | Machine Learning | Machine learning deployment | Microsoft Fabric | Model Monitoring | Natural Language | Natural Language Processing | OpenAI embeddings | Power BI | Prompt engineering | Python | RAG | Retrieval-Augmented Generation | Secure Retrieval | Semantic Search | Vector Databases
Education
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