Applied AI Data Scientist
Tasks
- Build machine learning models
- Collaborate on client and internal research
- Conduct statistical and causal analysis
- Design prompts for LLM applications
- Develop RAG pipelines
- Evaluate model performance
- Implement vector database solutions
- Manage data driven product requirements
- Prototype AI solutions using AI tools
- Train NLP and computer vision models
Perks/Benefits
- Annual team retreat
- Flexible schedule
- Free Lunches
- Health insurance
- Remote work
- Weekly knowledge sharing
Skills/Tech-stack
Agile | Causal Inference | Chain-of-Thought | Computer Vision | Deep learning | English communication | Experimental Design | Few-Shot Learning | Few-shot | Fine Tuning | JAX | Kanban | Language Models | Large Language Models | Machine Learning | Model Evaluation | Multimodal Learning | NLP | Prompt engineering | PyTorch | Python | Retrieval-Augmented Generation | Scrum | TensorFlow | Uncertainty Quantification | Vector Databases
Education
N/A
Roles
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