Sr. Data Scientist
Tasks
- Architect end to end ML solutions
- Build retrieval ranking and ads recommendation systems
- Conduct offline and online experimentation
- Define strategy and quality bars
- Develop NLP based query and content understanding
- Drive scalability latency reliability improvements
- Integrate modeling and experimentation
- Lead design and development of machine learning systems
- Own technical direction for search relevance problem areas
- Productionize machine learning models
- Serve as technical leader and mentor
- Set multi year vision for search and relevance capabilities
Perks/Benefits
- N/A
Skills/Tech-stack
Apache Spark | Deep learning | Drift Detection | Evaluation | Experimentation platforms | Fine Tuning | Instruction Tuning | LLM Fine-tuning | Language Models | Language Processing | Large Language Models | Machine Learning | Model Monitoring | Multi-Objective Optimization | NLP | Natural Language | Natural Language Processing | Objective optimization | Online Experimentation | Preference optimization | Python | RAG | Ranking | Recommendation Systems | Relevance modeling | Representation Learning | Retrieval | SQL
Roles
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