AI Implementation Expert
Tasks
- Build and deploy machine learning models
- Build deploy and test AI copilots and conversational agents
- Define success metrics and evaluate ROI
- Design AI solution architecture with system integrations
- Develop retrieval-augmented generation pipelines
- Document solutions and maintain reusable prompt libraries
- Enable secure auditable and compliant AI with logging versioning
- Ensure ethical secure and responsible AI governance
- Identify AI automation opportunities
- Implement monitoring and continuous improvement
- Integrate AI solutions with data sources APIs and business systems
- Prototype AI workflows with prompts and data inputs
- Support training change management and AI literacy
- Translate business needs into AI use cases with measurable outcomes
Perks/Benefits
- N/A
Skills/Tech-stack
API Integration | Azure Machine Learning | Azure OpenAI | ChatGPT | Copilot Studio | Data Preprocessing | Data integration | Generative AI | Human-in-the-loop | Language Processing | Machine Learning | Microsoft Copilot | Microsoft Fabric | Model Deployment | Model Evaluation | Monitoring and Logging | Natural Language | Natural Language Processing | Pandas | Power Automate | Power BI | Prompt engineering | Python | REST APIs | Retrieval-Augmented Generation | SQL | Scikit-learn | The Loop
Education
Bachelor of Engineering | Bachelor of Science | Master of Science | PhD
Roles
AI | AI Engineer | Data Scientist | Engineer | Learning Engineer | Machine Learning Engineer | Scientist
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