Senior AI Technologist
USD 145K-208K (estimate) Senior-level Full Time
Tasks
- Assess data readiness and define ingestion workflows
- Define data preparation ingestion and retrieval workflows
- Define naming conventions and information architecture standards
- Deploy AI solutions in regulated on prem and cloud environments
- Design AI solution approaches using LLM RAG and AI agents
- Design data structures and metadata models
- Develop documentation for data standards and quality controls
- Develop vector database and retrieval pipelines
- Identify AI use cases and prioritize opportunities
- Measure and improve data quality
Perks/Benefits
Skills/Tech-stack
AI Agents | AI Foundry | AWS Bedrock | Apache Airflow | Apache Spark | Azure AI | Azure AI Foundry | CI/CD | Chunking | DBT | Data Deduplication | Data Ingestion | Data Normalization | Data Preparation | Data Quality | Data Quality Management | Data Retrieval | Data Validation | Data schemas | DevOps | Error Handling | Git | GitOps | Go | Kubernetes | Language Models | Large Language Models | Metadata standards | Ontologies | Orchestration frameworks | Pandas | Python | Quality management | Retrieval Pipelines | Retrieval-Augmented Generation | Taxonomies | TypeScript | Vector Databases | Vector embeddings
Education
N/A
Roles
Regions
Countries
States
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