Architecture design of an AI-agentic framework in healthcare
Ai Developer Technology Engineer Interview Questions
6,028 ai developer technology engineer interview questions shared by candidates
My AI/ML experience and programming experience.
I can't understand their selection process because my interview was good and also discussion salary. 1 technical round and 3 HR round there and The process took more than 1.5 month.
About my project that i have done in previous company
oday's mock interview experience with LTA Technical Interview (TI) Questions 1. What are the 4 pillars of OOP Concept? 2. Explain Encapsulation with an example. 3. Differentiate between Method Overloading and Method Overriding. 4. What is the use of the super keyword in Java or Python? 5. Difference between Interface and Abstract Class. 6. Write an SQL query to create a students table with essential columns. 7. Write an SQL query to insert sample data into the students table. 8. Explain your current or latest project in detail. Personal Interview (PI) Questions 1. Introduce yourself. 2. Where do you see yourself in the next 5 years? 3. Would you stay loyal to the company long-term? 4. Are you willing to work overtime if needed? 5. Do you have any startup ideas or future innovation plans?
Abt projects i worked in my degree
1. Screening - I was asked if my projects align with the job description, why did i do those projects. What were the main problems that occurred? Am i willing to work in remote setting and what will be my availability timings throughout the day. 2. Technical - So, one of my projects perfectly aligned with the job description and what they wanted to do. So, the whole interview was on that project only. Project was on Person Detection, distance and velocity measurement. I was asked about libraries and models i used in the project. Whether i used a pretrained model or trained it myself. What dataset was the model trained upon? What was the accuracy score? Why did you choose the model? Do you have experience in deployment?
What approach would you take to feeding / sharing data to a client’s data warehouse?
Transformer architecture, performance metrics, deep dive on workex projects
What you have done so far in your data science journey? do you have projects that you can demonstrate to us?
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