
Expert AI Model Validator
6 hours ago
AI Assurance Lead plays a pivotal role in ensuring the reliability and effectiveness of artificial intelligence solutions.
Key Responsibilities:
- Develop an in-depth understanding of AI concepts, including machine learning and deep learning techniques.
- Familiarity with various AI frameworks, libraries, and tools (e.g., TensorFlow, PyTorch).
Testing Methodologies:
- Design and implement testing methodologies tailored to AI models and algorithms.
- Experience in testing different types of AI models, including supervised and unsupervised learning.
Quality Assurance:
- Assess and ensure the quality of training data for AI models.
- Knowledge of data preprocessing and cleaning techniques to enhance model performance.
Automation and Tooling:
- Develop automation scripts using Open-source tools for AI applications.
- Familiarity with specialized AI testing tools and frameworks.
Performance Optimization:
- Audit and optimize the performance and scalability of AI models.
- Simulate scenarios to evaluate AI model behavior under different conditions.
Ethical AI Practices:
- Understand ethical considerations in AI and implement testing practices aligning with responsible AI principles.
Collaboration:
- Collaborate with senior stakeholders, cross-functional teams.
Regulatory Compliance:
- Awareness of regulations and standards related to AI, ensuring testing practices comply with relevant guidelines.
Problem-Solving Skills:
- Analytical and problem-solving abilities to identify and address challenges in AI testing.
Our company is committed to equal employment opportunity regardless of race, ethnicity, nationality, gender, gender-identity, gender expression, language, age, sexual orientation, religion, marital status, veteran status, socio-economic status, dis-ability or any other characteristic protected by applicable law.
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