Top 7 Artificial Intelligence careers to pursue in 2023

As we find ourselves in the midst of the AI revolution, a wide range of career opportunities in the domain of artificial intelligence has emerged. In this article, we will explore seven prominent AI careers, their educational prerequisites, and the potential entry-level salaries for each.

1) Machine Learning Engineer

Machine Learning Engineers are responsible for designing, implementing, and applying machine learning algorithms to solve problems. They typically work with big data and need to have a strong foundation in computer science, programming, and statistical modeling. Their tasks often involve developing predictive models, creating algorithms that allow computers to perform specific tasks, and maintaining scalable machine learning solutions in production.

Educational Qualification:

A Bachelor’s degree in Computer Science or related fields is usually the minimum requirement. However, most positions prefer candidates with a Master’s or Ph.D. in Data Science, Machine Learning, or related specialties.

Entry-level Salary:

The starting salary can range from $80,000 to $120,000, depending on the region and the company.

2) Data Scientist

Data Scientists analyze vast amounts of data to extract actionable insights. They employ a mix of statistical, machine learning, and data analysis methods. A Data Scientist’s role often overlaps with that of a Machine Learning Engineer, but they generally place a stronger emphasis on exploratory data analysis, data visualization, and business insights. They’re essential for organizations that rely on big data to inform business decisions.

Educational Qualification:

A Bachelor’s degree in Data Science, Statistics, Computer Science, or related fields is the base. However, a Master’s or Ph.D. is often preferred, especially for more specialized roles.

Entry-level Salary:

Entry-level data scientists can expect a salary range of $70,000 to $100,000, with variations based on location and industry.

3) AI Research Scientist

AI Research Scientists push the boundaries of what machines can do. They typically work in academia, tech companies, or research institutions, focusing on understanding the underlying algorithms and principles behind AI and machine learning. Their work often leads to the development of entirely new machine learning techniques or the enhancement of existing ones.

Educational Qualification:

Most AI research positions require at least a Master’s degree, though a Ph.D. in AI, Cognitive Science, or related areas is highly recommended.

Entry-level Salary:

Starting salaries for AI Research Scientists are typically in the range of $90,000 to $130,000, but can be higher depending on the institution and location.

4) Robotics Engineer

Robotics Engineers design, build, and maintain robots. They work on marrying the software with the physical hardware to make robots move and perform tasks. This role requires knowledge in various fields including electronics, mechanics, and software engineering. Robotics Engineers might be involved in creating anything from surgical robots to autonomous cars.

Educational Qualification:

A Bachelor’s degree in Robotics, Mechanical Engineering, or a related field is required. Advanced roles may require a Master’s or Ph.D.

Entry-level Salary:

Entry-level positions for robotics engineers can offer salaries between $60,000 to $90,000.

5) AI Ethicist

As AI becomes more integrated into our daily lives, there’s a growing concern about its ethical implications. AI Ethicists study the moral considerations around AI deployment. They work with tech companies, governments, and non-profits to develop guidelines and best practices to ensure that AI systems are designed and used ethically and responsibly.

Educational Qualification:

A background in Philosophy, Social Sciences, Law, or Technology is essential. This is a relatively new field, so interdisciplinary studies, including AI and ethics, would be beneficial.

Entry-level Salary:

The salary range is broad due to the nascent nature of the role, but expect starting figures between $60,000 to $85,000.

6) UX Designer

User Experience (UX) Designers focus on creating intuitive and user-friendly digital interfaces. With AI-powered apps becoming common, UX Designers must now consider how users will interact with machine learning models. This might involve designing for chatbots, voice interfaces, or predictive user interfaces. Their primary aim is to enhance user satisfaction by improving the overall usability and accessibility of the product.

Educational Qualification:

A Bachelor’s degree in Design, Computer Science, or a related field is the basic requirement. Courses in Human-Computer Interaction and User Experience are highly beneficial.

Entry-level Salary:

Starting salaries for UX designers typically fall between $50,000 to $75,000.

7) Business Intelligence Developer

Business Intelligence Developers use tools and software to visualize an organization’s data. They transform complex datasets into understandable dashboards, graphs, and reports that businesses can use to make informed decisions. As AI integrates more with business processes, these developers might use machine learning to enhance traditional business intelligence tasks like forecasting.

Educational Qualification:

A Bachelor’s in Computer Science, Information Systems, or related fields is required. Knowledge of databases, programming, and analytics tools is essential.

Entry-level Salary:

The starting salary for BI developers is usually between $65,000 to $85,000.

Conclusion

The world of artificial intelligence offers a plethora of opportunities for aspiring professionals. Whether you’re keen on the technical side or the ethical implications of AI, there’s a role out there for you. As with all professions, continuous learning and staying updated with the latest advancements will always give you an edge in your AI career.

Read More Blogs

MASTER RED HAT SERVICE AUTOMATION RH358 COURSE IN DELHI: ENROLL NOW!
TOP 10 HIGHEST PAYING MACHINE LEARNING JOBS IN INDIA
RED HAT CERTIFICATION GUIDE: OVERVIEW AND CAREER PATHS
FROM NOVICE TO AI PRO: ARTIFICIAL INTELLIGENCE TRAINING COURSE IN DELHI JOIN NOW
REDHAT OPENSHIFT TRAINING COURSE IN DELHI