Senior Applied Scientist
Tasks
- Address hallucination and stale data risks
- Build recommendation ranking and personalization systems
- Define evaluation frameworks and experimentation strategies
- Design machine learning models for product discovery
- Develop LLM based conversational shopping systems
- Implement retrieval-augmented generation
- Orchestrate AI tools for grounding with structured data
- Provide technical leadership and mentoring
- Run offline metrics and online experiments
- Support model governance and Responsible AI
- Translate models into low latency user experiences
Perks/Benefits
- N/A
Skills/Tech-stack
ARIMA | Anomaly Detection | Apache Spark | Azure Databricks | Classification | Clustering | Data Querying | Experimentation | Fine Tuning | Generative AI | Isolation forests | Language Models | Large Language Models | Machine Learning | Model Evaluation | Personalization | Prompt engineering | Python | R | Ranking | Recommendation Systems | Regression | Responsible AI | Retrieval-Augmented Generation | SQL | Series analysis | Time Series | Time Series Analysis | Tool orchestration
Education
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