AI Scientist I
Tasks
- Analyze user challenges workflows and use cases
- Assess data integrity and quality
- Assist data acquisition from sources
- Develop AI/ML algorithms
- Develop data cleaning strategies
- Evaluate model performance
- Measure model resilience
- Monitor AI ML research developments
- Prepare reports and presentations
- Prepare training datasets
- Present results to peers and stakeholders
- Review scientific literature
Perks/Benefits
Skills/Tech-stack
Amazon AWS | Azure | Clustering | Computer Vision | Data Quality | Data cleaning | Dataset Preparation | Deep learning | Dspy | Elasticsearch | Graph Models | GraphRAG | Langchain | Language Models | Language Processing | Large Language Models | Llamaindex | MLOps | Model Evaluation | Natural Language | Natural Language Processing | PyTorch | Python | RAG | Reinforcement Learning | Scikit-learn | Signal Processing | Unsupervised Learning
Education
Roles
AI | AI Scientist | Scientist
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