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Title
Text copied to clipboard!Explainable AI Engineer
Description
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We are looking for an Explainable AI Engineer to join our team of AI experts. Your main task will be to develop and implement techniques that enable the explanation and interpretation of complex AI models. In this role, you will collaborate with developers, data scientists, and business analysts to ensure that our models are transparent, understandable, and compliant with regulatory requirements. We expect candidates to have a deep understanding of explainability methods such as LIME, SHAP, interpretable neural networks, and other modern techniques. You will also be responsible for educating internal teams on the importance of explainability and preparing documentation to support our solutions. If you are passionate about ethical AI and want to contribute to the development of trustworthy systems, we invite you to apply.
Responsibilities
Text copied to clipboard!- Develop and implement techniques for AI model explainability
- Collaborate with developers and data scientists to integrate explainable solutions
- Analyze and improve existing models for greater transparency
- Prepare technical documentation and explainability reports
- Train internal teams on best practices for explainability
- Stay updated on the latest research and trends in explainable AI
- Ensure model compliance with regulatory requirements
- Develop prototypes and tools for model explanation visualization
- Contribute to the development of ethical guidelines for AI use
- Support troubleshooting related to model interpretation
Requirements
Text copied to clipboard!- Master’s or PhD degree in Computer Science, Data Science, or related fields
- Strong understanding of AI explainability techniques (e.g., LIME, SHAP)
- Hands-on experience in developing and implementing machine learning models
- Proficiency in Python and libraries such as TensorFlow, PyTorch, scikit-learn
- Excellent analytical and communication skills
- Ability to work in multidisciplinary teams
- Knowledge of ethical issues in AI
- Self-motivated and capable of independent problem-solving
- Experience in regulated industries (e.g., finance, healthcare) is a plus
- Ability to prepare technical documentation
Potential interview questions
Text copied to clipboard!- What experience do you have with AI model explainability?
- Which explainability techniques have you used in practice?
- How would you approach improving the explainability of a complex model?
- How would you explain model results to a non-technical audience?
- Do you have experience with regulatory requirements regarding AI?
- How do you stay updated on developments in explainable AI?
- Have you developed your own tools for model explanation visualization?
- What role do you think explainability plays in ethical AI use?
- How would you approach training a team on model explainability?
- Do you have experience working in multidisciplinary teams?
