AI Engineering & Data Foundations
Tasks
- Apply evaluation monitoring observability
- Build metadata generation entity resolution content classification
- Build production AI applications
- Create AI ready data products
- Design retrieval-augmented generation solutions
- Develop AI agents and agentic workflows
- Develop reusable AI capabilities and patterns
- Ensure data quality, governance, lineage
- Implement vector search
- Integrate AI solutions with APIs and platforms
Perks/Benefits
Skills/Tech-stack
API Integration | Access Management | Cloud Platforms | Data Contracts | Data Governance | Data Lineage | Data Observability | Data Quality | Distributed Systems | Entity Resolution | Graph Databases | Identity & Access | Identity & Access Management | Java | JavaScript | Language Models | Large Language Models | Machine Learning | Metadata Management | Model Evaluation | Observability | Orchestration | Python | Retrieval-Augmented Generation | Semantic Search | Vector Databases | Vector Search
Roles
AI | AI Engineer | Data Engineer | Engineer | Learning Engineer | Machine Learning Engineer
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