Applied AI Data Scientist (CEO Office)
Tasks
- Analyze content performance metrics
- Build analytical workflows
- Build machine learning pipelines
- Deploy AI models in production
- Develop AI agents for analytics
- Ensure code quality reproducibility scalability
- Experiment with LLMs
- Identify correlations and causal relationships
- Monitor and optimize ML and DL models
- Present insights to executive stakeholders
- Train reinforcement learning models
- Validate measurement methods
Perks/Benefits
- Collaboration tools and project support
- Flexible schedule
- Independent contractor engagement
- Location flexibility
- Remote-first work
Skills/Tech-stack
Data analytics | Deep learning | Distributed Systems | Experimentation | LLM Agents | Language Models | Language Processing | Large Language Models | Machine Learning | Machine Learning Pipelines | Model Monitoring | Natural Language | Natural Language Processing | Production Machine Learning | Python | Reinforcement Learning | SQL
Education
N/A
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