Applied AI Researcher
Tasks
- Build and improve AI services using LLMs
- Deploy and operate ML services in production
- Design controlled experiments and analyze results
- Design develop and operate ML LLM systems end to end
- Evaluate and optimize model implementations
- Experiment and iterate on prompting retrieval tool use and orchestration strategies
- Improve validation observability and performance monitoring
- Perform technical design and code reviews
- Write testable maintainable efficient Python code
Perks/Benefits
Skills/Tech-stack
A/B | A/B Testing | Amazon Redshift | B testing | CI/CD | Data Warehousing | Debugging | LLMOps | Language Models | Language Processing | Large Language Models | MLOps | Machine Learning | Model Evaluation | Model Monitoring | Natural Language | Natural Language Processing | Observability | Orchestration | Performance Monitoring | Prompt engineering | Python | Retrieval-Augmented Generation | Snowflake | Statistical significance | Testing | Tool use | Version control
Education
N/A
Roles
AI | AI Researcher | Engineer | Learning Engineer | Machine Learning Engineer | Researcher
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