Multi - Discipline Specialist (AI Engineer)
Tasks
- Break down end to end system components
- Build automation workflows and solutions
- Build support and evolve intelligent systems
- Consult and advise on technology use
- Design, develop, and operationalize AI solutions
- Ensure compliance with governance and legislation
- Lead end-to-end design projects
- Provide integration solutions
- Review and approve technical design
- Share knowledge on industry trends
- Support and support deployment of AI solutions
- Support project design and deployment
- Validate and integrate design components
Perks/Benefits
- N/A
Skills/Tech-stack
.NET | APIs | AWS | Analysis and Design | Azure | Azure Functions | Data Modelling | Development Life Cycle | ETL Pipelines | Elastic | IT Infrastructure | IT Infrastructure Architecture | IT Risk | IT Risk and Security | IT Solutions | IT solutions architecture | Infrastructure architecture | Java | Kafka | Language Processing | Logic Apps | Machine Learning | Model Monitoring | Natural Language | Natural Language Processing | Platform AI | Power Platform | Power Platform AI) | Prompt engineering | Queue | Responsible AI | Service Oriented | Service-Oriented Architecture | Solutions Architecture | System Development | System Development Life Cycle | Systems Analysis | Systems analysis and design | Workflow Orchestration
Education
Advanced Diplomas | Bachelor of Engineering | Bachelor of Science
Roles
AI | AI Engineer | Engineer
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