AI Interview Questions for Machine Learning Engineers

Machine Learning Engineers face AI interview questions that focus on algorithm design, model deployment, and system scalability. Questions often explore deep learning frameworks like TensorFlow and PyTorch, as well as techniques such as convolutional neural networks, recurrent neural networks, and reinforcement learning. Candidates may be asked to compare different algorithms, explain their pros and cons, and solve optimization problems.

Interviewers may present coding challenges to implement algorithms efficiently, handle large datasets, and tune models for high performance. Questions may also include discussions on bias, overfitting, and underfitting, as well as ethical considerations in AI model development. Understanding how to balance accuracy, computational cost, and maintainability demonstrates readiness for practical engineering tasks.