Senior Applied Scientist
Tasks
- Build end-to-end machine learning pipelines
- Define research roadmaps
- Deploy models to production
- Design multimodal models
- Develop explainable AI methods
- Evaluate models rigorously
- Formulate research problems
- Implement foundation models
- Infer product identity
- Infer product relationships
- Mentor peer scientists and engineers
- Process multimodal data at scale
- Publish research findings
Perks/Benefits
- N/A
Skills/Tech-stack
Agentic Architectures | Data Processing | End to End | End-to-End ML Pipelines | End-to-end ML | Explainable AI | Foundation Models | Generative AI | Information Retrieval | Language Models | Large Scale Data | Large-scale | Large-scale Data Processing | ML pipelines | Machine Learning | Model Evaluation | Multimodal Learning | Visual Language Models | Visual language
Education
N/A
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