Generative AI Security Engineer
Tasks
- Build content safety moderator models
- Collaborate with cross-functional teams to deliver ML solutions
- Conduct exploratory data analysis
- Create data visualizations
- Define responsible LLM metrics
- Develop LLM evaluation datasets
- Develop safety tools for ML teams
- Implement automation monitoring and scaling practices
- Perform data preprocessing and transformation
- Research bias detection and mitigation
- Train LLMs using reinforcement learning
- Train LLMs using supervised fine tuning
Perks/Benefits
- N/A
Skills/Tech-stack
Adversarial Robustness | Availability | Bias Mitigation | Bias detection | Confidentiality | Content Safety | Data Analysis | Data Preprocessing | Data Visualization | Data extraction | Exploratory Data Analysis | Fine Tuning | Git | Integrity | LLM Alignment | Language Models | Large Language Models | Machine Learning | Model extraction | Multilingual NLP | Multimodal Learning | NumPy | Pandas | Prompt injection | PyTorch | Python | Reinforcement Learning | Scikit-learn | Statistical modeling | Supervised Fine Tuning | TensorFlow | Version control
Education
Regions
Countries
States
Cities
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