AI Architect
Tasks
- Apply responsible AI practices bias mitigation and transparency
- Build retrieval augmented generation approaches
- Convert unstructured content to structured representations
- Define AI reference architectures
- Design AI evaluation for performance and relevance
- Design end-to-end AI workflows
- Evaluate and productionize generative AI solutions
- Guide data model and deployment infrastructure decisions
- Implement scoring explainability and quality assurance
- Improve accuracy consistency and trustworthiness
- Monitor deployed solutions and data pipelines
- Optimize systems for latency cost and throughput
- Present insights and recommendations with visualizations
- Set AI technical standards and patterns
Perks/Benefits
- N/A
Skills/Tech-stack
APIs | Batch Processing | Bias Mitigation | Data Pipelines | Data Privacy | Data Processing | Explainability | Generative AI | Information Retrieval | Knowledge graphs | Language Models | Language Processing | Large Language Models | Lexical search | Machine Learning | Natural Language | Natural Language Processing | NoSQL Databases | Python | Real Time | Real-time Processing | Relational databases | Retrieval-Augmented Generation | Semantic Search | Structured data | System design | Testing | Time processing | Unstructured Data | Unstructured Data Processing | Version control
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
AI | AI Architect | Architect | Engineer | Learning Engineer | Machine Learning Engineer
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