AI Engineer
Tasks
- Build RAG pipelines to optimize model outputs
- Build and maintain APIs for generative AI models
- Collaborate with data and business teams to identify AI opportunities
- Design AI powered automation for data processing workflows
- Develop prompt strategies and few shot learning techniques
- Document AI solutions and integration points
- Integrate AI into data platforms and core data architecture
- Support data quality and governance standards
Perks/Benefits
- N/A
Skills/Tech-stack
API Integration | AWS | Automation | Azure | Data Governance | Data Pipelines | Data Quality | Data Transformation | Data extraction | Few-Shot Learning | Few-shot | Gemini | Generative AI | Google Cloud | Hugging Face | Language Models | Large Language Models | Machine Learning | OpenAI | Prompt engineering | Python | RAG | REST API | Retrieval-Augmented Generation
Education
Bachelor of Arts | Bachelor of Engineering | Bachelor of Science
Roles
AI | AI Engineer | Engineer | Learning Engineer | Machine Learning Engineer
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