ABL - Ingeniero de Inteligencia Artificial (AI Engineer)
Tasks
- Apply responsible AI principles
- Build business copilots and virtual assistants
- Build data ingestion transformation and enrichment pipelines
- Create AI reasoning orchestration and automation
- Deploy solutions using Azure managed services
- Design and implement generative AI applications
- Develop semantic search solutions
- Ensure data quality, consistency, and traceability
- Ensure regulatory and enterprise standards compliance
- Implement DevSecOps
- Implement LLMOps
- Implement MLOps
- Implement RAG
- Implement knowledge indexing and vectorization
- Implement security controls and data protection
- Integrate AI services with corporate applications
- Manage prompt versioning models and components
- Manage structured and unstructured knowledge repositories
- Monitor performance cost accuracy and adoption
- Participate in architecture and technical quality reviews
Perks/Benefits
- N/A
Skills/Tech-stack
APIs | Azure | Azure AI | Data Governance | Data Pipelines | Data Security | DevSecOps | Generative AI | LLMOps | Language Models | Large Language Models | MLOps | Prompt engineering | Responsible AI | Retrieval-Augmented Generation | Semantic Search | Vectorization
Education
N/A
Roles
AI | AI Engineer | Engineer | Learning Engineer | Machine Learning Engineer
Regions
Countries
States
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