AI Engineer
INR 2000K-4000K (estimate) Mid-level Full Time
Tasks
- Build and optimize vector databases
- Build generative AI applications
- Collaborate to define AI roadmaps and strategies
- Create data pipelines for training and inference
- Define AI governance security and compliance frameworks
- Design copilot solutions
- Design scalable APIs and microservices
- Develop intelligent workflows
- Establish MLOps practices
- Implement Azure AI Document Intelligence
- Integrate AI with Microsoft 365 and Power Platform
- Lead enterprise AI solution development
- Lead proof-of-concept projects
- Mentor AI engineers and developers
- Stay current with AI and Azure updates
Perks/Benefits
- N/A
Skills/Tech-stack
AI Document Intelligence | AI Search | AI Studio | API Design | Agent systems | Agentic AI | Azure AI | Azure AI Document Intelligence | Azure AI Search | Azure AI Studio | Azure Agentic AI | Azure Cognitive | Azure Cognitive Services | Azure DevOps | Azure Machine Learning | Azure OpenAI | Azure OpenAI Service | C# | Cognitive Services | Copilot Studio | Cosmos DB | Data Engineering | Data Governance | Document Intelligence | Driven systems | ETL | Event Driven | Event Driven Systems | Fine Tuning | Graph API | Hybrid search | MLOps | Machine Learning | Microservices | Microsoft 365 | Microsoft 365 extensibility | Microsoft Copilot | Microsoft Graph | Microsoft Graph API | Model Deployment | Model Monitoring | Multi-Agent | Multi-Agent Systems | OpenAI Service | Pinecone | Power Platform | Prompt engineering | Python | Retrieval-Augmented Generation | Scalable API | Scalable API design | Semantic Kernel | Vector Databases | Weaviate
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
AI | AI Engineer | Engineer
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