AI Automation Engineer
INR 1500K-2500K (estimate) Mid-level Full Time
Tasks
- Build Power BI semantic models
- Build and deploy AI-powered applications
- Build scalable medallion architecture data lakes
- Configure Row Level Security
- Create vector database solutions
- Design AI automation solutions
- Develop AI agents and orchestration
- Develop ETL and ELT pipelines
- Develop RAG pipelines
- Establish cost and performance best practices
- Implement Microsoft Copilot solutions
- Implement data governance and security
- Integrate large language models with business applications
- Optimize data models and query performance
Perks/Benefits
- N/A
Skills/Tech-stack
AI Agents | AI Foundry | API Integration | Azure AI | Azure AI Foundry | Azure Data | Azure Data Factory | Azure OpenAI | Azure OpenAI Service | CI/CD | Copilot Studio | DAX | Data Factory | Data Governance | Dataflows Gen2 | Delta Lake | Direct Lake | ELT | ETL | Git | Infrastructure as Code | Kusto Query | Kusto Query Language | Lakehouse | Language Models | Large Language Models | Medallion Architecture | Microsoft Copilot | Microsoft Copilot Studio | Microsoft Fabric | OneLake | OpenAI Service | Power BI | Prompt engineering | PySpark | Python | Query Language | Retrieval-Augmented Generation | Row Level Security | SQL | Tokenization | Vector Databases | “as-code”
Education
Bachelor of Engineering | Bachelor of Science | Bachelor of Science in Computer Science | Bachelor of Science in Information Technology
Roles
AI | AI & Automation Engineer | AI Automation | Automation Engineer | Data Engineer | Engineer
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