Python GenAI
Infosys Bengaluru East, Karnataka, India
Job Description
"Unlock the power of Python and GenAI to drive innovation and growth in the industry, and become a Python GenAI expert at Infosys."
As a Python GenAI professional at Infosys, you will be part of a dynamic team that leverages the power of Python and Generative AI to drive business outcomes.
With a strong foundation in Python programming, you will work on developing, testing, and maintaining Python-based applications and scripts that integrate with AI and ML models.
Why you should learn this:
The demand for Python GenAI professionals is on the rise, with a projected growth of 30% in the next 5 years.
Expected Salary: The average salary for a Python GenAI professional at Infosys can range from $120,000 to $180,000 per annum.
How it works:
- Develop and deploy Python-based applications and scripts that integrate with AI and ML models.
- Work on data preprocessing, cleaning, validation, and transformation for AI use cases.
- Assist in integrating machine learning models with web applications or backend services.
- Support AI/ML model development, training, testing, and deployment activities.
Core Concepts to Master
Object-Oriented Programming (OOP) Concepts
In this module, you will learn about the fundamental principles of OOP, including encapsulation, inheritance, and polymorphism.
Data Structures and Algorithms
This module will cover various data structures such as arrays, linked lists, stacks, and queues, as well as algorithms like sorting and searching.
Machine Learning and AI Concepts
You will learn about the basics of machine learning, including supervised and unsupervised learning, regression, classification, and clustering.
Agentic AI and Langchain
In this module, you will learn about agentic AI and langchain, including their applications and usage in real-world scenarios.
NumPy, Pandas, and Matplotlib/Seaborn
This module will cover the basics of NumPy, Pandas, and Matplotlib/Seaborn, including data manipulation, visualization, and analysis.
Scikit-Learn and SQL
You will learn about scikit-learn, including its applications in machine learning, as well as the basics of SQL and databases.
REST APIs and JSON
In this module, you will learn about REST APIs and JSON, including their usage in web development and data exchange.
Git/GitHub and VS Code/PyCharm
You will learn about Git/GitHub, including version control and collaboration, as well as the basics of VS Code and PyCharm.
Interview Questions (Beginner)
- What is Python, and why is it used for AI and ML?
- What are the basic data structures in Python?
- How do you implement OOP concepts in Python?
- What is machine learning, and how is it used in AI?
Job Overview
Advance Questions
- • How do you implement agentic AI and langchain in Python?
- • What are the applications of NumPy, Pandas, and Matplotlib/Seaborn?
- • How do you use scikit-learn for machine learning tasks?