Mastering the Art of Prescreening: Essential Questions to Ask for Undefined Roles in Your Company

What is your current level of understanding of AI principles and applications?

This question targets the candidate's comprehension of AI principles and their practical applications. Answers should reveal a firm grasp of foundational AI principles and showcase an understanding of how these principles are applied in real-world situations.

Do you have any relevant educational degrees or certifications in AI or related fields?

Here, you're probing into the candidate's formal education in AI. This could range from undergraduate or postgraduate degrees, online certifications, or professional courses. This question helps you gauge the depth and breadth of their formal training.

What professional experience do you have with AI implementation or related projects?

By asking about professional experience with AI implementation, you can gain insights into the candidate's real-world application of AI. Did they participate in developing AI solutions? What challenges did they face and overcome in these projects? This question could reveal priceless information about the candidate's experiential learning.

Do you have proficiency in AI-related programming languages specifically Python or R?

This question will help you understand the candidate's coding abilities in AI-related languages like Python or R, which are crucial for implementing AI solutions.

Have you ever designed, developed, or assisted in the development of an AI solution or model?

Questions like this will address whether the candidate has hands-on experience in building AI solutions. Further commentary on what kinds of AI solutions or models the candidate has worked on can provide a better comprehension of their real experience.

Are you familiar with machine learning algorithms and underlying mathematics?

Understanding machine learning algorithms and the mathematics that underlies them is fundamental for anyone working in AI. In this way, you ensure the candidate has a firm grasp on one of the vital blocks that build an AI specialist.

Do you have hands-on experience with AI platforms such as TensorFlow, Keras, etc?

This question indicates a candidate's experience with popular AI platforms and tools. Such exposure often proves invaluable when implementing or developing AI solutions.

Have you worked on any AI projects involving neural networks, deep learning, or natural language processing?

Looking for experience with more advanced AI methodologies? This inquiry enquires about experience with neural networks, deep learning, or natural language processing and allows the candidate to convey the depth of their expertise.

Are you able to design AI models that fit specific business needs or solutions?

AI solutions should address specific business needs or, at the very least, contribute effectively to the overall business strategy. Can your candidate adapt AI models to fit these needs? This question will tell.

Do you have any publications, patents, or significant projects in the field of AI that demonstrate your knowledge and skills?

Publications, patents, or significant projects often serve as concrete proof of a candidate’s knowledge and skills. This question helps identify candidates who are not just knowledgeable but also contribute to the AI field.

Do you understand the ethical implications and considerations when developing AI systems?

AI isn't just about machine learning algorithms and robotics; it's also about ethical considerations. Any good AI specialist is fully aware and respectful of ethical implications when designing AI systems. This question helps confirm whether your candidate has that understanding.

Do you have any experience in explaining complex AI concepts to non-technical stakeholders or clients?

The ability to explain complex concepts in a simple, easy-to-understand way is a black belt skill in the professional world. Do they possess this ability? This question will shine some light.

Do you have familiarity with using and implementing AI ethics guidelines and practices?

This is another way of seeing if candidates are considering ethical implications when designing AI systems. Ethics shouldn't be an afterthought but should be intertwined with any AI system's development process.

Do you have project management experience related to AI project development cycles?

Lastly, understanding AI is crucial, but do they know how AI projects are managed from start to finish? This question delves into their overall view and approach towards managing AI projects, providing a comprehensive perspective on their approach to work.