Senior Analytics Engineer
Tasks
- Build AI agents and agentic workflows
- Build proactive analytics and AI solutions
- Create semantic data models
- Design and develop AI powered analytics tools
- Develop and deploy LLM-powered applications
- Develop data pipelines APIs and backend services
- Establish responsible AI best practices
- Evaluate and optimize AI models prompts and solutions
- Identify AI machine learning and analytics use cases
- Implement Retrieval-Augmented Generation (RAG)
- Integrate cloud data platforms and AI technologies
- Mentor team on AI application development and AI evaluation
Perks/Benefits
- N/A
Skills/Tech-stack
AI Agents | AI Evaluation | AI Foundry | API Development | Agent Orchestration | Agents SDK | Autogen | Azure | Azure AI | Azure AI Foundry | Azure OpenAI | CI/CD | Cloud Integration | CrewAI | Data Modeling | Databricks | Docker | Kubernetes | Langgraph | Language Models | Language Processing | Large Language Models | Microsoft Fabric | Model Context Protocol | Natural Language | Natural Language Processing | Observability | OpenAI Agents | OpenAI Agents SDK | Power BI | Prompt engineering | Python | Responsible AI | Retrieval-Augmented Generation | SQL | Semantic Kernel | Semantic Search | Semantic data | Semantic data modeling | Snowflake | Tool-Calling | Vector Databases
Education
N/A
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