Engineer, AI Application Development
Lenovo Bangalore Urban, Karnataka, India
Job Description
"Join Lenovo's mission to deliver Smarter Technology for All and drive innovation in AI application development."
As an Engineer, AI Application Development at Lenovo, you will be part of a global technology powerhouse that's pushing the boundaries of what's possible in the field of artificial intelligence.
With a focus on delivering exceptional customer experiences, you will design, develop, and deploy AI-powered solutions that drive business growth and transform industries.
Why you should learn this:
The demand for AI application development experts is on the rise, with Lenovo being a leader in the field, offering a wide range of AI-enabled products and services.
Expected Salary: $120,000 - $180,000 per annum, depending on location and experience
How it works:
- Developing AI-powered applications using machine learning and deep learning algorithms
- Collaborating with cross-functional teams to design and deploy AI solutions
Core Concepts to Master
Machine Learning
A subset of AI that enables systems to learn from data and improve their performance over time, without being explicitly programmed.
Deep Learning
A type of machine learning that uses neural networks to analyze data and make predictions or decisions, often used in computer vision and natural language processing.
Natural Language Processing
A subfield of AI that deals with the interaction between computers and humans in natural language, enabling systems to understand, generate, and process human language.
Interview Questions (Beginner)
- What is machine learning and how does it differ from traditional programming?
- Can you explain the concept of deep learning and its applications?
- How do you approach problem-solving in AI development?
Job Overview
Advance Questions
- • Design a machine learning model to solve a real-world problem, and explain your thought process.
- • Implement a deep learning algorithm to classify images or text, and discuss the challenges you faced.
- • Describe your experience with natural language processing and how you've applied it in previous projects.