AI Model Validation Specialist
SKILLS
FULL DESCRIPTION
Summary
The AI Model Validation Specialist will analyze AI models to identify vulnerabilities and improve accuracy. They will conduct rigorous testing, utilize AI tools for validation reports, collaborate with data scientists, and communicate findings to stakeholders.
- Key Responsibilities/Duties:
- Analyze AI models to identify vulnerabilities and improve accuracy.
- Conduct rigorous testing of machine learning models.
- Utilize AI tools to create validation reports and benchmarks.
- Collaborate with data scientists to refine AI solutions.
- Communicate findings to stakeholders and suggest improvements.
- Core Requirements/Qualifications/Skills:
- Strong experience in Python, R, and validation frameworks.
- Solid understanding of model performance metrics.
- Knowledge of regulatory requirements for AI models.
- Excellent analytical and communication skills.
- Bachelor’s or Master’s in Computer Science, Data Science, or related field.
Responsibilities:
Analyze AI models to identify vulnerabilities and improve accuracy.
Conduct rigorous testing of machine learning models.
Utilize AI tools to create validation reports and benchmarks.
Collaborate with data scientists to refine AI solutions.
Communicate findings to stakeholders and suggest improvements.
Requirements:
Strong experience in Python, R, and validation frameworks.
Solid understanding of model performance metrics.
Knowledge of regulatory requirements for AI models.
Excellent analytical and communication skills.
Bachelor’s or Master’s in Computer Science, Data Science, or related field.