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NTT DATA IS HIRING : ASSOCIATE AI ENGINEER

NTT DATA is hiring Fresher candidates for the Associate AI Engineer. The details of the job, requirements and other information given below:

NTT DATA IS HIRING : ASSOCIATE AI ENGINEER

Don’t miss out CLICK HERE (to apply before the link expires)

Interview Questions and Answers for Associate AI Engineer Role at NTT DATA

Q1. Can you explain what Artificial Intelligence (AI) is?
Artificial Intelligence is a technology that allows computers and machines to perform tasks that normally need human intelligence. For example, AI can recognize faces in photos, understand speech, translate languages, or make predictions based on data. In simple words, AI helps machines learn and think like humans so they can solve problems and support businesses in their daily work.

Q2. What is the role of an Associate AI Engineer at NTT DATA?
An Associate AI Engineer is an entry-level role where the main responsibility is to support AI projects by learning and applying different AI tools. The person in this role helps in testing AI solutions, comparing results, preparing reports, and assisting senior engineers. This role is about building skills in areas like machine learning, natural language processing, and model evaluation while working with a team to deliver real business solutions.

Q3. Why do you want to join NTT DATA?
I want to join NTT DATA because it is a global company known for innovation, advanced technology, and career growth opportunities. It is a place where I can learn from experts, work on real projects, and improve my knowledge in AI and Data Science. NTT DATA values diversity, teamwork, and continuous learning, which matches my own career goals. I believe this role will help me start a strong journey in AI and build a successful future.

Q4. What skills are important for an Associate AI Engineer?
An Associate AI Engineer should have basic knowledge of AI and machine learning concepts. Programming skills in Python or R are very useful to test and build models. Analytical thinking is needed to compare different AI solutions and check their performance. Communication skills are also important because results need to be explained clearly to business teams. Most importantly, curiosity, willingness to learn, and teamwork are the qualities that help a beginner succeed in this role.

Q5. Can you explain what Machine Learning is in simple words?
Machine Learning is a part of AI where computers learn from data without being given step-by-step instructions. For example, if we give a computer thousands of pictures of cats and dogs, it can learn to recognize them correctly in new photos. Machine learning is used in many areas like fraud detection, chatbots, and recommendation systems. It helps businesses save time, improve accuracy, and make better decisions.

Q6. What do you know about Natural Language Processing (NLP)?
Natural Language Processing is a branch of AI that helps machines understand human language. It is used in applications like chatbots, translation apps, voice assistants, and sentiment analysis. For example, when you type a message in English and it gets translated into another language, NLP is working in the background. In this role, knowing the basics of NLP is important because many business solutions depend on analyzing and understanding text or speech.

Q7. What is model evaluation and why is it important?
Model evaluation means testing how well a machine learning model is performing. It helps us understand if the model is giving correct and reliable results. For example, in predicting customer behavior, we need to check if the model’s accuracy and results are useful for the business. Without evaluation, a wrong model may give poor results and affect decision making. That is why evaluation is a key step before using any AI solution in real projects.

Q8. How do you stay updated with AI technologies?
I stay updated by reading online blogs, research articles, and industry news about AI and machine learning. I also use platforms like Coursera, Kaggle, and LinkedIn Learning to take online courses. Joining AI communities and following experts on social media helps me learn about the latest tools and technologies. I believe continuous learning is very important in AI because the technology is always changing and improving.

Q9. What is benchmarking in AI projects?
Benchmarking means comparing different AI solutions or models to see which one performs the best. It is similar to comparing two mobile phones before buying, by checking their speed, battery, and features. In AI, benchmarking helps teams decide which model or tool gives the most accurate, scalable, and reliable results for business needs. This process makes sure the chosen solution is the best fit for the company.

Q10. Where do you see yourself in the next three years?
In the next three years, I see myself growing from an entry-level Associate AI Engineer to a more skilled AI professional. I want to gain hands-on experience in AI projects, learn advanced techniques, and contribute to building real solutions. I also want to develop leadership skills so that I can guide new team members and handle small projects on my own. My goal is to continue learning and add value to both NTT DATA and my career growth.

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