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6 Awesome & High-Paying AI Careers to Pursue in 2023

Over the last few years, artificial perspicacity (AI) has opened up possibilities for the future. From space exploration to melanoma detection, it is making waves across industries, making infeasible things possible.

As a result, there has withal been a steady magnification in AI careers—LinkedIn puts artificial perspicacity practitioners among the ‘jobs on the rise’ in 2021. In this blog post, we explore the ten awe-inspiring and high-paying AI vocations you can pursue in 2021 and beyond.

Is Artificial Perspicacity a Good Vocation?

The current AI job perspective is quite promising. The US Bureau of Labor Statistics expects computer science and information technology employment to grow 11% from 2019 to 2029. This will integrate about 531,200 incipient jobs in the industry. This, it appears, is a conservative estimate. ‘AI and Machine Learning Specialists’ is the second on the list of jobs with incrementing demand as per the World Economic Forum.

As the industry matures, jobs in AI will not only grow in number but withal intricacy and diversity. This will open doors for sundry professionals—junior, senior, researchers, statisticians, practitioners, experimental scientists, etc. The perspective for ethical AI is withal looking up.

What AI Vocations Can You Pursue?

Despite being an incipient and niche field, vocations in artificial astuteness aren’t homogenous. Within AI, there are sundry kinds of jobs needing concrete skills and experience. Let us optically canvass the top ten piecemeal.

1. Machine Learning Engineer

Machine learning engineers are at the intersection of software engineering and data science. They leverage astronomically immense data implements and programming frameworks to engender engendered-yare scalable data science models that can handle terabytes of genuine-time data.

Machine learning engineer jobs are best for anyone with a background that coalesces data science, applied research, and software engineering. AI jobs seek applicants with vigorous mathematical skills, experience in machine learning, deep learning, neural networks, and cloud applications, and programming skills in Java, Python, and Scala. It additionally avails to be well-versed in software development IDE implements like Eclipse and IntelliJ.

The average salary of a machine learning engineer in the US is $​​1,31,000. Organizations like Apple, Facebook, Twitter, etc., pay significantly higher—in the range of $170,000 to $200,000. Read more about ML engineer salaries here.

2. Data Scientist

ai v locations: Data scientists amass data, analyze it, and glean insights for a wide range of purposes. They utilize sundry technology implements, processes, and algorithms to extract erudition from data and identify consequential patterns. This could be as rudimentary as identifying anomalies in time series data or intricate as soothsaying future events and making recommendations. The primary qualifications expected of a data scientist are:

Advanced degree in statistics, mathematics, computer science, etc.

Understanding of unstructured data and statistical analysis

Experience with cloud implements like Amazon S3 and the Hadoop platform

Programming skills with Python, Perl, Scala, SQL, etc.

Working cognizance of Hive, Hadoop, MapReduce, Pig, Spark, etc.

The average salary of a data scientist is $105,000. With experience, this can go up to $200,000 for a director of data science position.

3. Business Astuteness Developer

Business astuteness (BI) developers process intricate internal and external data to identify trends. For instance, in a financial accommodations company, this could be someone monitoring stock market data to avail make investment decisions. In a product company, this could be someone monitoring sales trends to apprise distribution strategy.

However, unlike a data analyst, business perspicacity developers don’t engender the reports themselves. They are typically responsible for designing, modeling, and maintaining involute data in highly accessible cloud-predicated data platforms for business users to utilize the dashboards. The qualifications expected of a BI developer are:

Bachelor’s degree in engineering, computer science, or a cognate field

Hands-on experience in data warehouse design, data mining, SQL, etc.

Familiarity with BI technologies like Tableau, Power BI, etc.

Vigorous technical and analytical skills

Business astuteness developers earn an average salary of $86,500, going up to $130,000 with experience.

4. Research Scientist

The research scientist role is one of the most academically-driven AI vocations. They ask incipient and ingenious questions to be answered by AI. They are experts in multiple disciplines of artificial perspicacity, including mathematics, machine learning, deep learning, and statistics. Like data scientists, researchers are expected to have a doctoral degree in computer science.

Hiring organizations expect research scientists to have extensive cognizance and experience in computer perception, graphical models, reinforcement learning, and natural language processing. Erudition in benchmarking, parallel computing, distributed computing, machine learning, and artificial astuteness are a plus.

Research scientists are in high demand and command an average salary of $99,800.

5. Sizably voluminous Data Engineer/Architect

ai vocations: Immensely Colossal Data Engineer/Architect

Astronomically immense data engineers and architects develop ecosystems that enable sundry business verticals and technologies to communicate efficaciously. Compared to data scientists, this role can feel more involved, as astronomically immense data engineers and architects typically are tasked with orchestrating, designing, and developing immensely colossal data environments on Hadoop and Spark systems.

Most companies prefer professionals with a Ph.D. in mathematics, computer science, or cognate fields. However, as a more practical role than that of, verbally express, a research scientist, hands-on experience is often treated as a good supersession for a lack of advanced degrees. Immensely colossal data engineers are expected to have programming skills in C++, Java, Python, or Scala. They withal need to have experience in data mining, data visualization, and data migration.

Sizably Voluminous data engineers are among the best-paid roles in artificial perspicacity, with an average salary of $151,300.

6. Software Engineer

AI software engineers build software products for AI applications. They assemble development tasks like inditing code, perpetual integration, quality control, API management, etc., for AI tasks. They develop and maintain the software that data scientists and architects use. They stay apprised and updated about incipient artificial astuteness technologies.

An AI software engineer is expected to be adroit in software engineering and artificial perspicacity. They require to have programming skills as statistical/analytical skills. Companies typically probe for a bachelor’s degree in computer science, engineering, physics, mathematics, or statistics. To land a job as an AI software engineer, certifications in AI or data science are subsidiary additionally.

The average salary of a software engineer is $108,000. This goes up to $150,000 predicated on your specialization, experience, and industry.