AI Scientist I
Tasks
- Analyze data integrity and quality
- Analyze user challenges and workflows
- Assist in data acquisition
- Conduct AI ML technology watch
- Develop AI/ML algorithms and models
- Develop data cleaning strategies
- Measure model performance and robustness
- Prepare reports and presentations
- Prepare training datasets
- Present results to peers stakeholders and users
- Review scientific literature
Perks/Benefits
Skills/Tech-stack
Amazon Web Services | Clustering | Computer Vision | Data Quality | Data cleaning | Deep learning | Dspy | Elasticsearch | English | GraphRAG | Langchain | Language Models | Language Processing | Large Language Models | Llamaindex | MLOps | Machine Learning | Microsoft Azure | Natural Language | Natural Language Processing | PyTorch | Python | Reinforcement Learning | Retrieval-Augmented Generation | Scikit-learn | Unsupervised Learning | Web Services
Education
Roles
AI | AI Scientist | Scientist
Regions
Countries
States
Cities
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