Professionals in the growing field of machine intelligence work in a variety of industries, helping with everything from data analysis to algorithm creation. Although more research is necessary to gain a greater understanding of how to apply machine intelligence education to these fields, there are already several career choices to consider if you have a machine intelligence degree.
Machine Learning Engineer
Machine learning engineers spend their time analyzing data and using computer science knowledge to create the deep learning algorithms that drive machine intelligence. These algorithms are incorporated into software that allows businesses and organizations to provide a cohesive experience to end users. As a machine learning engineer, you could get the opportunity to work with top companies that are conducting research into more efficient and responsive systems. The goal of these systems is to create software environments that require little or no human involvement to translate data into actions that influence the final output.
Data scientists also work in data analysis, but instead of using information to create a software component, they present the findings to their employers and help decide how to apply the results to creating more efficient and effective systems. People in this type of machine intelligence degree job need a good understanding of computer science and analytics to work in this field, and it’s also necessary to have a solid grasp of the algorithms involved in automation and machine learning. Qualified individuals for these positions are going to be in higher demand as time goes on and companies recognize the need for more accurate analytics tools and responsive software.
Putting your software engineering experience to work in the field of machine intelligence could mean doing anything from developing games to creating business software that handles predictive analytics. Success in this machine intelligence degree position depends on an understanding of programming languages and the platforms used to deploy the software solutions you create. You may need to configure, install and troubleshoot programs or test various software environments. Businesses in particular need help incorporating growing machine intelligence technology into their systems. This will require more sophisticated software as algorithms become more complex, and that’s where your engineering experience will come in handy.
Business Intelligence Analyst
Business software that relies on machine intelligence is driving companies toward a more automated future. The more automation that a business can implement, the less time has to be spent on mundane tasks. As a business intelligence analyst, you look at market data and business trends to help develop a comprehensive approach to automation. Coupling data on past and current trends with the algorithms that drive machine learning has the potential to “teach” business systems what to expect and deliver information that supports better long-term business decisions.
Since machine intelligence is still in its infancy, some universities and organizations are devoting their research efforts into expanding the field. As a research fellow, you work with others to gain a better understanding of the mechanisms behind machine learning so that it’s easier to develop algorithms that drive reliable outcomes. Research fellows often need a higher academic degree to qualify for their positions, but the lack of such machine intelligence degree programs means that you may be able to get a position based on other relevant educational and work experience. Attention to detail and solid research skills are required for this type of machine intelligence degree job.
If the evolution and growth of machine intelligence interests you, one of these positions with a machine intelligence degree could provide you with a satisfying career.