
Lead Artificial Intelligence Model Quality Specialist
22 hours ago
The ideal candidate will possess in-depth knowledge of artificial intelligence, machine learning, and deep learning concepts. They will be responsible for ensuring the quality and reliability of AI models.
- Key Responsibilities:
- Develop a thorough understanding of AI frameworks, libraries, and tools.
- Design and implement testing methodologies specific to AI models and algorithms.
- Test different types of AI models, including supervised and unsupervised learning.
- Assess and ensure the quality of training data for AI models.
- Apply data preprocessing and cleaning techniques to enhance model performance.
- Develop automation scripts using Open-source tools for AI applications.
- Simulate various scenarios to evaluate AI model behaviour under different conditions.
- Implement testing practices that align with responsible AI principles.
- Collaborate with senior stakeholders and cross-functional teams.
- Awareness of regulations and standards related to AI, ensuring testing practices comply with relevant guidelines.
- Required Skills and Qualifications:
- Strong analytical and problem-solving abilities to identify and address challenges in AI testing.
- Experience with AI testing methodologies and tools.
- Ability to work collaboratively in a team environment.
- Excellent communication and interpersonal skills.
- Benefits:
- Opportunity to work on cutting-edge AI projects.
- Collaborative and dynamic work environment.
- Professional growth and development opportunities.
- Others:
- LTIMindtree is an equal opportunity employer committed to diversity and inclusion.
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