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The growing connection between Artificial Intelligence and human emotions

Steps to success as an AI Engineer in the technology world

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Steps to success as an AI Engineer in the technology world

in Blog, Tech
Reading Time: 3 mins read
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The growing connection between Artificial Intelligence and human emotions
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Athira Sethu

Kochi, 13 October 2025

Artificial Intelligence (AI) is transforming industries globally, and with it, there is a growing need for competent AI engineers. Indeed, AI-related job listings experienced a 25.2% spike during the first quarter of 2025 as compared to the same time in 2024, and the average base salary for these job postings reached $156,998 (Source: Veriton). Over three-quarters of businesses worldwide now apply AI to some degree, from 55% a year ago (Source: McKinsey), illustrating how central AI is becoming to business operations.

AI engineers are responsible for this revolution through creating smart systems that can solve intricate real-world problems. They include predictive models and recommendation engines, sophisticated robots and autonomous technologies. If you want to become a part of this cutting-edge field, you will have to build a robust technical skill set, find practical experience, and keep up with the latest technologies. This article will take you through the necessary steps, abilities, and career tracks to make you a successful AI engineer.

Steps to Becoming an AI Engineer:

  • Learn Programming: Learn Python as a primary language, and pick secondary languages such as R, Java, and C++ for application-specific tasks.
  • Study Mathematics: Gain solid grounding in linear algebra, calculus, probability, and statistics, all essentials for AI algorithms.
  • Master Machine Learning & Deep Learning: Familiarize yourself with fundamental concepts like neural networks, reinforcement learning, and natural language processing (NLP).
  • Get Hands-On with AI Tools: Familiarize yourself with AI libraries like TensorFlow, PyTorch, and tools for data processing, such as NumPy and Pandas.
  • Earn Certifications: A degree in computer science or data science is common, but certifications in AI and machine learning can enhance your credibility.
  • Build a Portfolio: Show your skills through projects and contribute to platforms like GitHub and Kaggle to demonstrate your capabilities.
  • Gain Real World Experience: Secure internships or entry-level positions to acquire industry experience and establish professional connections.

AI Engineer’s Salary and Career Prospects:

The need for AI engineers is fast increasing, with dramatic job listing and salary growth in AI-related positions. In 2025, the median AI engineer salary in the U.S. hit almost $157,000, and the jobs are projected to continue to increase in industries across the board.

As AI becomes more central to business operations, the industry is expected to inject $19.9 trillion into the world’s economy by 2030. This increase, coupled with investments from companies, guarantees a robust career market for AI engineers in the years to come. As experts with specialized skills, AI engineers will be high in demand, underpinning innovations that propel next-generation industries.

Being an AI engineer is a wonderful career choice for professionals who want to solve real-world issues using intelligent systems. With the development of the proper technical skills, hands-on experience, and knowledge of the latest advancements in AI, future professionals can have a lucrative and sustainable career in AI engineering.

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