Senior AI/ML Engineer
Tasks
- Build AI agent solutions
- Build RAG-architectures
- Collaborate with business and IT stakeholders
- Conduct technical research for AI ML solution options
- Create backend services and APIs
- Create technical documentation and solution diagrams
- Deploy and maintain machine learning models
- Design and implement AI/ML solutions
- Design and implement LLM applications
- Develop data pipelines
- Develop predictive models
- Gather and clarify functional technical and data requirements
- Implement AI automation workflows
- Integrate AI ML solutions with Azure services
- Integrate AI ML solutions with Microsoft Fabric
- Review code and design for quality and security
- Translate business problems into AI/ML use cases
Perks/Benefits
- N/A
Skills/Tech-stack
AI Agents | AI Services | Azure AI | Azure AI Services | Azure Machine Learning | Azure OpenAI | CI/CD | Copilot Studio | Data Pipelines | Data integration | Deep learning | Intelligent Automation | LLMOps | Language Models | Large Language Models | MLOps | Machine Learning | Microsoft Azure | Microsoft Fabric | Prompt engineering | Python | RAG | REST APIs | Retrieval-Augmented Generation | Semantic Search | Vector Databases
Education
Roles
AI | AI/ML Engineer | Engineer | ML Engineer | Senior AI/ML Engineer
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