ML Interview

Common interview questions#

Interview guides

• Hard skills: Use these questions to identify a candidate’s technical knowledge and abilities.

  • Describe why you would choose weak AI over strong AI.
  • What would you do if you noticed data in a data set were corrupted or missing?
  • How would you describe machine learning to a nontechnical person?

• Behavioral intelligence: Use these questions to determine how a candidate handled situations in the past.

  • How would you describe machine learning to a nontechnical person?
  • How do you see AI impacting the future of application development?
  • Tell me about a time when you worked as part of a team to complete a challenging project.

• Soft skills: Use these questions to assess a candidate’s personal traits and cognitive skills.

  • What’s your ideal work environment?
  • Describe a time when you thought outside the box to come up with a solution.
  • What inspired you to pursue a career in AI, and where do you see it taking you?

Roles in AI Industry#

from ChatGPT

• AI specialist

  An AI specialist focuses on the practical application of AI technologies to solve real-world problems. They work to design, develop, and implement AI systems and applications that can be used by organizations to improve their operations and decision-making processes.

  AI specialists have a strong technical background and are skilled in programming and data analysis.

  They are responsible for selecting and integrating AI tools and technologies into existing systems and processes. Their role is to ensure that AI systems meet the needs of the organization and provide real-world solutions to complex business problems.

  The former focuses on applying existing AI technologies to solve practical problems

• AI researcher

  AI researchers are more focused on advancing the field of AI through academic and scientific inquiry. They conduct research to develop new algorithms, models, and techniques that can be used to solve complex AI problems. AI researchers have a strong foundation in mathematics, statistics, and computer science, and they are often affiliated with universities or research institutions.

  The latter focuses on advancing the field through research and development of new AI methods and techniques.

• AI engineer

  AI engineer is a software engineer who specializes in building and deploying AI systems. They are responsible for the end-to-end development of AI systems, from data collection and processing to the deployment of AI models in production environments. AI engineers work with cross-functional teams, including data scientists and software engineers, to design and build scalable and efficient AI systems.

  AI engineers focus on the end-to-end development and deployment of AI systems.

AI specialist#

from ChatGPT

An AI specialist is a professional who works with artificial intelligence technologies and algorithms. They design, develop, and implement AI-powered systems and applications.

The main responsibilities of an AI specialist include:

1. Designing and developing AI algorithms and models that can process and analyze large amounts of data.
2. Selecting and integrating AI tools and technologies into existing systems and processes.
3. Testing and evaluating the performance of AI systems to identify areas of improvement.
4. Collaborating with cross-functional teams, including data scientists, software engineers, and business stakeholders, to ensure that AI systems meet the needs of the organization.
5. Keeping up to date with the latest developments in AI technology and incorporating them into their work.
6. Developing and implementing training and testing data sets to train and validate AI models.
7. Deploying AI systems in production environments and providing ongoing support and maintenance.

Overall, the role of an AI specialist is to leverage AI technologies to solve complex business problems and improve organizational efficiency and decision-making.