AI Jobs, Salaries, and Career Prospects For Beginners (2023)
Key Takeaways
- AI engineers are among the highest-paid professionals in the tech industry, with average annual salaries ranging from $120,017 to even $500.000 annually in the US.
- AI engineers design and develop intelligent machines using machine learning algorithms.
- To become an AI engineer, one needs to have a strong foundation in computer science and mathematics and expertise in programming languages such as Python or Java. Knowledge of machine learning algorithms and deep learning frameworks like TensorFlow or PyTorch is also essential.
- AI Jobs offer excellent career prospects with opportunities to work on exciting projects ranging from autonomous vehicles to natural language processing systems.
- The field of AI includes several job roles, such as AI Engineer, Machine Learning Engineer, Data Scientist, Robotics Engineer, Natural Language Processing (NLP) Specialist, and lately, even ChatGPT Prompt Engineer 🙂
- Beginners interested in AI can find online courses, books, and Python libraries like TensorFlow or PyTorch.
Artificial Intelligence (AI) is a rapidly growing field that has the potential to revolutionize industries across the board. As AI becomes more prevalent daily, there is an increasing demand for skilled professionals who can design, develop, and implement AI systems. In this beginner’s guide, we’ll explore the various aspects of AI jobs, salaries, and career prospects.
Artificial Intelligence Average Salary
One of the most attractive aspects of pursuing a career in AI is the high earning potential. According to various reports and surveys, AI engineers are among the highest-paid professionals in the tech industry.
The average annual salary for Artificial Intelligence Engineer in the US can earn an average salary of $143,011 per year as of February 2023.
| City | Salary |
|---|---|
| New York | $218,600 |
| California | $156,000 |
| Virginia | $152,407 |
| Massachusetts | $150,000 |
| Texas | $150,000 |
| Georgia | $140,000 |
| Colorado | $137,750 |
| Illinois | $130,000 |
| Maryland | $124,900 |
| North Carolina | $121,875 |
| Arizona | $119,594 |
| Hawaii | $115,000 |
| Average | $143,011 |
The salary range for AI engineers varies depending on factors such as experience level, location, and industry. Experienced professionals with advanced degrees can earn upwards of $200K annually.
Read more: Artificial Intelligence Engineer Salary Growth In 2023
Who is an Artificial Intelligence Engineer?
An Artificial Intelligence Engineer is a professional who designs and develops intelligent machines that can perform tasks that typically require human intelligence, such as visual perception, speech recognition, decision-making, and language translation. They work with machine learning algorithms to create intelligent systems that can learn from data and improve over time.
To become an AI engineer requires a strong foundation in computer science and mathematics along with expertise in programming languages such as Python or Java. Additionally, knowledge of machine learning algorithms and deep learning frameworks like TensorFlow or PyTorch is essential.
Will Artificial Intelligence Take Away Jobs?
The rise of artificial intelligence has sparked concerns about job displacement due to automation. To give you a taste – check how the great expansion of AI writing assistants like Jasper AI or Writesonic brought a massive disruption in copywriting.
While it’s true that some jobs may be replaced by machines in the future, it’s important to note that new jobs will also be created as a result of technological advancements.
AI technology will create new opportunities for workers who have skills that complement machine capabilities, such as critical thinking skills or creativity.
It’s also worth noting that many jobs will require human interaction which cannot be replaced by machines.
Is Artificial Intelligence a Good Career?
Artificial intelligence offers excellent career prospects for those interested in technology and innovation. With its high earning potential and increasing demand across industries such as healthcare, finance, retail etc., it’s no surprise that many young professionals are considering careers in this field.
AI engineers have opportunities to work on exciting projects ranging from autonomous vehicles to natural language processing systems.
Additionally, they have access to cutting-edge technologies like deep learning frameworks which enable them to build intelligent systems with greater accuracy than ever before.
Artificial Intelligence Jobs
There are several AI jobs roles available within the field of artificial intelligence, including:
- AI Engineer: Designs and develops intelligent machines using machine learning algorithms. Ready-made filters on Glassdoor to find AI Engineer Jobs
- Machine Learning Engineer: Develops algorithms that enable machines to learn from data. Ready-made filters on Glassdoor to find Machine Learning Engineer Jobs
- Data Scientist: Analyzes large datasets using statistical methods to extract insights. Ready-made filters on Glassdoor to find Data Scientist Jobs
- Robotics Engineer: Designs robots that can perform tasks autonomously. Ready-made filters on Glassdoor to find Robotics Engineer Jobs
- Natural Language Processing (NLP) Specialist: Develops algorithms for understanding human language. Ready-made filters on Glassdoor to find Natural Language Process (NLP) Jobs
Artificial Intelligence for Beginners
If you’re interested in pursuing a career in artificial intelligence but don’t know where to start, then here are some resources you should consider before applying for an AI Jobs:
- Online Courses: Platforms like Coursera offer online courses on topics ranging from machine learning basics to deep learning frameworks.
- One of the recommended is IBM AI Engineering Professional Certificate.
- You can try a completely free course Data Science: Machine Learning, from Harvard
- Books: There are several books available on Amazon covering topics like neural networks or natural language processing.
- Python Libraries: Python libraries like TensorFlow or PyTorch provide easy-to-use interfaces for building intelligent systems without requiring extensive knowledge of machine learning algorithms.
- Start here for free – A Phyton Academy
Artificial Intelligence with Python
Python has become one of the most popular programming languages used by data scientists and machine learning engineers due to its simplicity and ease of use. Several libraries like TensorFlow or PyTorch provide easy-to-use interfaces for building intelligent systems without requiring extensive knowledge of machine learning algorithms.
If you’re interested in getting started with artificial intelligence using Python, then here are some resources you should consider:
- Python Machine Learning: by Sebastian Raschka: This book covers topics ranging from basic concepts like linear regression all the way up through deep neural networks.
- TensorFlow Tutorials: on YouTube: These tutorials cover everything from setting up your environment through building complex models using TensorFlow.
- PyTorch Documentation: : The official documentation provides detailed information about how PyTorch works along with examples demonstrating how it can be used.
Artificial Intelligence Books
If you’re a student interested in Artificial Intelligence (AI), there are many great books out there to help you learn more about this exciting field. Here are some of the best AI books for students:
- “Artificial Intelligence: A Modern Approach” by Stuart Russell and Peter Norvig – This book is considered a classic in the field of AI and provides a comprehensive introduction to the subject.
- “Machine Learning” by Tom Mitchell – This book is a great resource for anyone interested in machine learning, which is a subset of AI that focuses on teaching computers to learn from data.
- “Deep Learning” by Ian Goodfellow, Yoshua Bengio, and Aaron Courville – This book is an excellent introduction to deep learning, which is a type of machine learning that involves training neural networks with large amounts of data.
- “Make Your Own Neural Network” by Tariq Rashid – This book is a practical guide to building your own neural network using the Python programming language.
- “Artificial Intelligence For Dummies” by John Paul Mueller and Luca Massaron – If you’re new to AI, this book provides a gentle introduction to the subject that’s easy to understand.
These are just a few of the many great AI books available for students. Whether you’re interested in machine learning, deep learning, or other aspects of AI, there’s sure to be a book out there that can help you learn more about this exciting field.
Artificial Intelligence for Students
If you’re a student interested in pursuing a career in artificial intelligence, then there are several resources available online:
- Google’s Machine Learning Crash Course: This free course provides an introduction to machine learning concepts along with hands-on exercises using TensorFlow.
- Kaggle Competitions: Kaggle hosts several competitions where students can apply their skills against real-world problems while competing against others.
- Coursera Courses: Coursera offers several courses related to artificial intelligence, including courses taught by top universities worldwide.
Sources:
- https://www.simplilearn.com/ai-engineer-salary-article
- https://www.analyticsinsight.net/how-to-land-a-six-figure-job-as-a-beginner-ai-engineer/
- https://www.projectpro.io/article/artificial-intelligence-engineer-salary/449
- https://hackr.io/blog/artificial-intelligence-books
- https://www.guru99.com/ai-machine-learning-books.html
- https://fivebooks.com/best-books/artificial-intelligence-gpt-3/