AI Engineering Analyst (Hybrid)
South San Francisco, CA, United States
USD 133K-202K (estimate) Entry-level Full Time
Tasks
- Build data model mining and production dataset processes
- Build production-grade AI solutions
- Design architectures for AI and analytics in clinical development
- Develop and test agentic AI pipelines
- Develop data transformation metadata extraction and error processing pipelines
- Evaluate foundation models and agent architectures
- Implement automated operational and quality control processes
- Operate monitor and improve production AI solutions
- Optimize quality reliability latency cost efficiency and governance
- Query aggregate analyze and visualize data end to end
Perks/Benefits
Skills/Tech-stack
AI Governance | Amazon Web Services | Automated testing | C plus plus | C# | Data Aggregation | Data Analysis | Data Mining | Data Modeling | Data Transformation | Data Visualization | Error processing | Java | JavaScript | Langchain | Langgraph | Metadata Extraction | Objective-C | Production Deployment | Python | Querying | R | Scala | Swift | Web Services
Education
Roles
AI | AI Engineering | AI Engineering Analyst | Analyst | Engineering Analyst
Regions
Countries
States
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