Senior AI/ML Technology Specialist
Tasks
- Apply security by design
- Automate model deployment
- Build agent orchestration components
- Build enterprise connector modules
- Create CI/CD pipelines
- Create unified API interfaces
- Design LLM solution components
- Design MCP server integrations
- Develop agent evaluation frameworks
- Develop vector indexing and reranking pipelines
- Document architectural decisions
- Ensure cloud governance compliance
- Implement Azure AI Foundry pipelines
- Implement Azure AI Search pipelines
- Implement RAG architectures
- Implement infrastructure-as-code
- Implement model routing and broker logic
- Ingest transform and index data pipelines
- Integrate tools and implement guardrails
- Maintain containerization
- Manage session and conversation persistence
- Optimize retrieval and chunking
- Produce technical documentation and progress reports
- Support knowledge transfer
Perks/Benefits
Skills/Tech-stack
AI Foundry | AI Search | API Management | Agentic Orchestration | Azure AI | Azure AI Foundry | Azure AI Search | Azure Container | Azure Container Apps | Azure Function | Azure Function Apps | Bicep | By Design | CI/CD | Chunking | Cloud Governance | Container Apps | Containerization | Data Ingestion | Data Transformation | Entra ID | Evaluation Frameworks | Function Apps | Guardrails | Infrastructure as Code | Infrastructure provisioning | Langchain | Langgraph | Language Models | Large Language Models | MCP | MLOps | Model routing | RAG Pipelines | Reranking | Retrieval-Augmented Generation | Security by design | Semantic Kernel | Terraform | Tool integration | Vector indexing | “as-code”
Education
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