AI Specialist (ML & LLM)
Tasks
- Build secure scalable data storage and processing
- Conduct feasibility studies
- Continuously improve AI Solutions
- Deploy Azure OpenAI models
- Design data ingestion workflows
- Develop AI use case requirements and success metrics
- Develop production ML systems
- Develop prompt engineering frameworks
- Evaluate LLM outputs
- Identify AI use cases
- Implement data quality checks
- Integrate AI workloads using APIs
- Maintain AI solution documentation
Perks/Benefits
- N/A
Skills/Tech-stack
AI Search | APIs | Azure AI | Azure AI Search | Azure Functions | Azure ML | Azure OpenAI | Azure OpenAI Studio | Azure Synapse | CI/CD | Cloud Architecture | Data Ingestion | Data Modeling | Data Quality | Databricks | Databricks Model Registry | Distributed Systems | Evaluation | Generative AI | LLMOps | Language Models | Large Language Models | Logic Apps | MLOps | MLflow | Machine Learning | Model Registry | OpenAI Studio | Pinecone | Prompt engineering | RAG | Vector Databases | Weaviate
Roles
AI | AI Specialist | Data Engineer | Data Scientist | Engineer | Learning Engineer | Machine Learning Engineer | Scientist | Specialist
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