Sr. Analyst, Applied AI Engineer
Tasks
- Apply responsible AI practices
- Build AI classification solutions
- Build AI recommendation solutions
- Build conversational workflows
- Create agent patterns and service interfaces
- Design AI ranking solutions
- Design AI summarization solutions
- Design governed AI workflows
- Design information extraction solutions
- Develop AI orchestration workflows
- Develop reusable prompt libraries
- Evaluate ML model options
- Implement evaluation testing and monitoring
- Implement model-based solutions
- Implement prompt based solutions
- Integrate AI solutions with data ecosystems
- Monitor AI accuracy and reliability
- Productionize AI workflows
- Provide technical guidance and code review
- Translate business pain points into AI features
Perks/Benefits
- Employee assistance program
- Free financial counseling
- Health coaching
- Hybrid work schedule
- PTO
- Parental leave
- Tuition assistance program
- Workplace training
Skills/Tech-stack
AI orchestration | AWS | Amazon SageMaker | Classification | Conversational AI | Databricks | Distributed Processing | Information Retrieval | LLM Engineering | Language Models | Language Processing | Large Language Models | MLflow | Machine Learning | Model Evaluation | Natural Language | Natural Language Processing | Prompt engineering | PySpark | Python | Recommendation Systems | Responsible AI | SQL | Sagemaker Studio | Text Summarization
Education
N/A
Regions
Countries
States
Cities
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