Python Gen AI
Infosys Bengaluru East, Karnataka, India
Job Description
"Unlock the power of Python and Generative AI with Infosys, and embark on a journey to revolutionize the technology landscape."
As a Python Gen AI at Infosys, you will be at the forefront of developing intelligent systems that can learn, reason, and interact with humans in a more natural way.
With the increasing demand for AI-powered solutions, this role presents a unique opportunity to make a significant impact on the industry and drive business growth for our clients.
Why you should learn this:
The global market for Generative AI is expected to reach $13.9 billion by 2028, with a compound annual growth rate (CAGR) of 36.6%.
Expected Salary: In the United States, the average salary for a Python Gen AI developer is around $141,000 per year, with experienced professionals earning upwards of $200,000.
How it works:
- Step 1: Gather client requirements and specifications to understand their needs and translate them into system requirements.
- Step 2: Collaborate with the development team to design, develop, validate, and support AI-powered systems that meet client expectations.
Core Concepts to Master
Generative Adversarial Networks (GANs)
GANs are a type of deep learning algorithm that can generate new, synthetic data that is similar to existing data. They consist of two neural networks: a generator and a discriminator, which work together to create new data samples.
Transfer Learning
Transfer learning is a machine learning technique where a pre-trained model is fine-tuned on a new task. This approach can significantly reduce the amount of training data required and improve the performance of the model.
Natural Language Processing (NLP)
NLP is a subfield of AI that deals with the interaction between computers and humans in natural language. It involves tasks such as text classification, sentiment analysis, and language translation.
Interview Questions (Beginner)
- What is Generative AI, and how does it differ from traditional machine learning?
- Can you explain the concept of transfer learning and its applications in AI?
- How do you handle imbalanced datasets in machine learning?
Job Overview
Advance Questions
- • Design a Generative AI system to generate realistic images of products for an e-commerce company.
- • Implement a deep learning model to classify sentiment in customer reviews and provide recommendations for improvement.
- • Explain the concept of explainability in AI and its importance in decision-making.