The field of artificial intelligence has many opportunities, we've listed some of the more popular ones below.

Data Scientist

A data scientist is responsible for collecting and interpreting data. Their work is centered around mathematics and statistics, sophisticated analytics, machine education, and AI. They pull relevant insights from a large pool of organizational data, and they then evaluate the results and extract valuable insights, which give a business a competitive edge.

In recent years, the demand for data scientists has grown by 35%. This increase was not anticipated and has led to a significant skills shortage in the data science arena.

To start a career in data science and AI, basic experience and knowledge of statistics, probability, math, and algorithms are required. However, certifications from accredited institutions are now also prerequisites for many job vacancies.

Machine Learning Engineer

A machine learning engineer oversees the creation and maintenance of machine learning platforms within a business. The role is crucial to AI initiatives and is best suited to those with a background in applied research and data science. When working with massive datasets, machine learning engineers must use predictive models and natural language processing.

Most job listings specify that applicants should have expertise in artificial intelligence, deep learning, and neural networks, as well as solid AI programming, analytical, and cloud application knowledge.

Those who are well-versed in agile development processes and familiar with software development IDE tools such as Eclipse and IntelliJ will have an advantage when applying for jobs. Many businesses prefer applicants with a master's or doctoral degree in computer science or mathematics. However, individuals with relevant certifications from accredited institutions are also considered a priority.

AI Architect

Artificial intelligence architects oversee the fundamental requirements of a project. They are responsible for the development and maintenance of architectures based on cutting-edge artificial intelligence technology frameworks. However, this position also combines elements of data science, solutions engineering, and technical expertise.

To grasp overall mission objectives, AI architects must have a 360-degree view of an AI deployment project. Additionally, they must be able to grasp how AI is applied in business, which requires a detailed awareness of AI patterns, AI platform capabilities, and its data situation. Owing to such demands, an AI architect is not a career entry position, but rather one that needs many years of field experience.

Business Intelligence (BI) Developer

The primary goal of a business intelligence developer is to evaluate large data sets to spot company and market trends. BI developers typically structure, model, and maintain complex data that's gathered and stored on cloud-based data platforms.

Individuals interested in this role need strong technical and analytical skills. Aspirants must be able to interact well with non-technical colleagues and exhibit strong critical thinking skills.

Unlike many other AI positions, BI developers generally require a bachelor's degree in engineering, computer science, or a related field. However, a combination of hands-on experience and certified qualifications are also highly desired. This means the ideal candidate will be well-versed in data warehouse design, data mining, SQL queries, SQL Server integration services, SQL Server reporting services, and business intelligence technologies.

Big Data Engineer

Most firms seek big data engineers who have completed a Ph.D. in mathematics, computer science, or a similar discipline.

Big data engineers are routinely tasked with creating, planning, and setting up extensive data ecosystems on Hadoop and Spark systems. Thus, to be a big data engineer, you also need extensive AI programming knowledge in C++, Java, Python, and Scala. And extensive knowledge and experience in data mining, data visualization, and data migration is an advantage too.

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