Applied Scientist II
Tasks
- Architect classification and orchestration systems for search queries
- Define success metrics for ML solutions
- Design experimental frameworks for ML evaluation
- Develop and deploy NLP and LLM based solutions
- Implement retrieval augmented generation systems
- Perform prompt engineering and fine tuning for generative AI
- Run A B testing to measure product impact
- Turn product requirements into testable hypotheses
Perks/Benefits
Skills/Tech-stack
A/B | A/B Testing | Azure Databricks | B testing | Experiment design | Fine Tuning | Information Retrieval | Kusto | Language Models | Language Processing | Large Language Models | Multimodal modeling | Natural Language | Natural Language Processing | Prompt engineering | Retrieval-Augmented Generation | SQL | Spark | Statistical modeling
Education
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