AI - Data Engineer
Tasks
- Align data science initiatives with business priorities
- Build data pipelines for data extraction
- Convert unstructured content into structured representations
- Design and implement AI evaluation approaches
- Design and implement AI workflows
- Develop and optimize retrieval approaches
- Identify data sources for business questions
- Implement scoring explainability and quality assurance
- Improve output consistency accuracy and trustworthiness
- Monitor deployed solutions and data pipelines
- Optimize latency cost and throughput
- Partner on AI infrastructure development
- Present insights through visualizations
- Prototype evaluate and productionize generative AI solutions
Perks/Benefits
- N/A
Skills/Tech-stack
APIs | Data Pipelines | Generative AI | Information Retrieval | Knowledge graphs | Language Models | Language Processing | Large Language Models | Machine Learning | Natural Language | Natural Language Processing | NoSQL | Python | Relational databases | Semantic Search | System design | Testing | Vector Databases | Version control
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
AI | AI Engineer | Data Engineer | Engineer
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