How to Become an Artificial Intelligence Engineer?

Unlock How to Become an Artificial Intelligence Engineer

Who is an AI Engineer?

Artificial intelligence (AI) engineers are the workforce that is responsible for developing, programming, and training the complex networks of algorithms that built AI so that their functionalities act like those of a human brain. This role is expertise in software development, programming, data science, and data engineering. 

AI engineers are rarely required to write the code. Instead, artificial intelligence developers locate and pull data from a variety of sources. Upon doing this they create, develop and test machine learning models and then utilize application program interface (API) calls or embedded code to build and implement AI applications.

Looking to be the one among them? Then keep crawling the entire article and learn how to become an artificial intelligence engineer.

What Does an AI Engineer do?

• AI Engineers work and coordinate with coders, data scientists, and other stakeholders.
• They also design and manage the AI development process and the infrastructure of a product. 
• They are also engaged in conducting statistical analysis and interpreting results to guide an organization's decision-making process.
• They are required to keep updated on industry trends and work on building AI models. 

 Skills Required to become an AI Engineer:

1)Programming Languages

 AI Engineer should have a decent knowledge of the following programming languages: Python, Java, R, C++, JavaScript.

2) Data modeling

AI Engineers should have a good command of SQL and NoSQL databases which is essential for querying and managing large datasets. Tools such as Apache Spark, Hadoop, and AWS S3 are also commonly used for data processing in AI projects.

3) Big data analysis

AI engineers shall analyze large sets of data and extract relevant insights from them. Tools to use behind this involve big data tools such as SparkSQL, Apache Flink, and Google Cloud Platform to query and manipulate large datasets.

4) Machine learning models

AI engineers must require knowledge of machine learning models and algorithms

This includes understanding supervised and unsupervised learning techniques, as well as deep learning algorithms such as convolutional neural networks (CNNs) and recurrent neural networks (RNNs).

AI engineers are also responsible for evaluating the performance of these models using metrics like

• Accuracy
• Precision
• Recall
• Root-mean-square deviation (RMSE),
• Mean absolute error (MAE)
• F1 score

5) AI and ML services

Coming to how to become an artificial intelligence engineer? Here is the 5^th skill required you to know about i.e. AL and ML services.

AI engineers should be familiar with cloud-based AI and machine learning services offered by major providers such as AWS, Azure, and Google Cloud Platform. These services provide pre-built models, APIs, and tools for developing intelligent applications without the need for extensive coding.

6) AI security

AI engineers should be aware of some tools used for securing AI applications which includes AWS Identity and Access Management service that enables you to manage access to AWS resources securely. TensorFlow Privacy library that facilitates the development of secure and privacy-preserving machine learning models.

Roadmap to become an AI engineer

Here are the following ways to become an artificial intelligence engineer:

1. Graduate from Science stream in High school

The first step in figuring out how to become an artificial intelligence engineer is to graduate high school with a focus on science subjects like physics, chemistry, or mathematics. You can also opt for statistics as one of your core subjects. Graduating from school with science subjects can provide you with a good knowledge base for your further studies.

2. Hold a bachelor's degree

You can either choose a course like B.Tech (Bachelor of Technology) in AI or opt for a degree B.Sc. (Bachelor of Science) course. You can also do your engineering degree in similar branches like IT or computer science and choose AI as a specialization in combination with machine learning and data science. Tip: Qualify for the JEE (Joint Entrance Exam) to gain admission to top engineering colleges like NITs (National Institutes of Technology), IITs (Indian Institutes of Technology), and IT (International Institute of Information Technology) to get proper specialization in the AI area.

3. Gain a Postgraduate Degree in AI Specialisation

There are many postgraduate and integrated courses. Study post-graduation in the AI Domain to gain practical knowledge on the subject. This will not only help you gain knowledge or skills but will land you into top tech roles with a good scope of earnings. 

4. Gain Certifications 

Even though you pursue your degrees and post-graduation degrees. but there are several certifications available to boost your in-depth concepts. These certification courses will help you in doing real-time projects which will enhance your skills technically. 

5. Land a job

Build your resume specifying your degree, skills, projects, and your calibers. Start with an apprenticeship or small internship to gain handy experience which in turn will help you land a great job in later years. 

Conclusion

Becoming an AI engineer or coming to 'How to Become an Artificial Intelligence Engineer?' is a challenging role, though, because it requires learning advanced technologies and AI engineering skills. Being an AI Engineer is considered a demanding tech job that everyone is looking for. Even the companies are looking for the most talented and skilled AI engineers to hire.You need a creative, innovative brain and the skills to meet the industry's pain points. An AI Engineer aims to focus on hearing the pain points faced by many and building an innovative smart solution to save time and workload.

FAQS

Q1) How can I start a career in AI?

Ans1: A career in AI requires an equivalent bachelor's degree or higher. For some entry-level positions, you may only need an associate degree or equivalent skills and work experience.

Q2) What course to take to become an artificial intelligence engineer?

Ans2: Bachelor's degree or Master's degree in AI domain, such as data science, computer science, IT, or statistics, or additional AI-related courses and certification programs.

Q3) Is AI engineering a good career?

Ans3: Yes, Undoubtedly With the increasing integration of AI across various industries, AI Engineering is a highly promising and demanding career choice.

Q4) What are the top AI skills to learn?

Ans4: Skills require Python, Java, R, C++, JavaScript, data modeling with SQL and NoSQL, big data tools such as SparkSQL, Apache Flink, and Google Cloud Platform for analysis of data, Understanding Machine learning techniques, and convolutional neural networks, and AL, ML services too.

Q5) What is the salary of an AI engineer in India, the US, and the UK?

Ans5: The average salary for an AI Engineer is ₹24,83,547 per year in India.

The average salary for an AI Engineer is $1,51,840 per year in the United States.

The average salary for an AI Engineer is £55,918 per year in the United Kingdom.