AI is one of the fastest-emerging fields in technology, providing many opportunities for those with appropriate qualifications and abilities to enter it.
Are You Exploring Career Options or Want to Launch One? In either case, knowing about the top positions available within an industry and their requirements for entering will give an advantage in any job search.
Software Engineer
If you’re thinking about becoming a Software Engineer, there are various career options to explore. A career as a Software Engineer provides the perfect way to use your computer science expertise and understand of software development processes while making an impactful contribution in our world.
Software engineers often pursue careers within companies, designing and developing systems and applications to meet user needs across industries like healthcare, transportation and logistics, government agencies and more.
As a software engineer, it’s necessary to possess both technical and communication skills for writing code efficiently and communicating the process to team members. Furthermore, an in-depth knowledge of data structures and algorithms should also be essential.
Once you’ve gained experience, becoming a senior software engineer will allow you to assume more responsibilities and work alongside a larger team.
At this stage, you’ll be able to manage a team of developers, interact with clients directly and manage other internal projects. It can be an immensely fulfilling career path; however, it does require significant dedication.
Consider freelance/contract/advisor work as another way of increasing your income and building up your portfolio. This option may suit those seeking independence while still benefitting from training and mentorship opportunities.
Based on your interests and goals, you may also want to pursue a graduate degree in a relevant field. UC Berkeley’s online Master of Information and Cybersecurity program is a great choice for professionals looking to upgrade their knowledge without leaving their current jobs or locations.
Are You Considering Becoming a Software Engineer? If you want to pursue a career as a Software Engineer, your first step should be earning a bachelor’s degree. This will equip you with all of the qualifications needed to apply for jobs within this field and secure employment.
UX Designer
UX designers are responsible for optimizing the user experience of websites, apps, and other digital products. This involves developing user personas, interviewing users directly, conducting market research into user needs and wants, as well as designing an intuitive product that makes interacting with it enjoyable for its users.
Many jobs in this field can be found with large tech companies; however, smaller and more specialized firms may also hire UX specialists who specialize in banking or mortgage advice. For instance, large financial services firms might hire numerous UX specialists.
As a UX designer, it’s necessary to possess skills in various areas such as coding, analytics, team building and psychological research. Possessing such abilities will enable you to negotiate for a higher salary than someone with limited capabilities.
Create a portfolio showcasing your digital design work and sketches, and gain relevant experience through internships or placements.
UX designers often have cross-functional duties, requiring them to collaborate closely with project stakeholders such as product managers and developers on various projects. Being an effective communicator is also key for this field – according to Eric Guess from iCiDIGITAL’s Raleigh office in North Carolina.
At the outset of designing a new product, your team must identify what problem your team is trying to address. This may require interviewing users or conducting competitor research in order to gain an understanding of existing solutions on the market.
Once you understand your problem, the next step should be developing ideas on how to solve it. This involves brainstorming, evaluating ideas, and building low-fidelity prototypes of possible solutions.
After testing out prototypes, you’ll need to create final designs for your product. These may include low-fidelity wireframes of its design.
UX designers often have the responsibility of developing product strategies and roadmaps for their company, working closely with other team members to identify areas for product growth and set processes to reach those goals.
Data Scientist
Data scientists use large volumes of information to gain meaningful insights that can inform business decisions. They employ various techniques, including machine learning and statistical analysis, to interpret it all correctly. Data scientists should also possess skills such as computer programming languages and database creation; as well as be adept at building predictive models.
Many companies rely on data science to enhance their operations and increase revenue. Retail chains rely heavily on data scientists for tracking buyer demand patterns and deciding when it is the ideal time to stock merchandise, while they employ supply chain management strategies that reduce inventory overstock or rollback risk.
Data scientists’ career paths vary by company and industry, but typically require at least a bachelor’s degree in an IT-related discipline or related degree program. Some employers may hire professionals with advanced degrees such as master’s or doctorate degrees to fill these positions; such professionals could benefit from internships, fellowships and postdoctoral research opportunities to advance their career further.
Data scientists can work for any organization – be it a nonprofit, government agency, sports team or even an individual business – from nonprofits and government agencies to sports teams and nonprofits. Their services enable businesses and organizations to make better business decisions by analyzing customer behavior data that provides insights into customer interactions as well as new revenue opportunities or detect fraud.
Data scientists conduct research across various topics related to business environments. For instance, they could study consumer spending patterns and social media posts or formulate plans to combat financial crime. Furthermore, data scientists often work with research institutions on statistical analyses and uncovering trends within scientific data sets.
One popular career path for data scientists is transitioning into management positions. By possessing strong knowledge in their field, data scientists may move into roles like marketing manager, customer service manager or product management. Such positions require extensive business knowledge as well as project management experience. Communicating effectively with decision-makers who do not share the same level of data literacy is also key for these positions.
Data scientists should expect their job prospects to expand rapidly over the next decade due to both a shortage of qualified workers and increasing business reliance on data-driven solutions across industries and sizes.
Machine Learning Engineer
Machine learning careers typically follow working in other data-related or computer engineering positions, and may have completed a bachelor’s degree in mathematics, computer science or data science prior to embarking on this endeavor.
Alternative paths include earning a certification or enrolling in a bootcamp to hone programming skills. No matter the route they took to get their start in machine learning engineering, all ML engineers should stay current on AI techniques by taking courses and workshops regularly.
Data scientists must possess an in-depth knowledge of a wide variety of concepts, such as algorithms, math, data structures and structures, probability and statistics, data modeling and evaluation methods used for data science purposes, libraries as well as programming languages used for this field, visualization. Furthermore, they should possess excellent software development techniques with regard to producing maintainable code and systems.
Machine Learning Engineers play an essential part in the advancement of AI technology, creating scalable and stable models suitable for production use. They implement machine learning algorithms and tools, conduct tests on their models to ensure proper functioning, as well as optimize them regularly in order to keep production moving along smoothly.
Machine Learning Engineers typically possess degrees in computer science, mathematics, statistics or another related discipline. A master’s or doctorate degree can increase job prospects and salary.
Machine Learning Engineers may find themselves working across any industry that relies on data for decision making. You could potentially work on AI-related applications for self-driving cars, healthcare, cybersecurity or marketing – among other fields!
As a junior machine learning engineer, you can expect a high salary and enjoy flexible work arrangements on an ongoing basis. At first you could earn around PS38,000 annually, increasing to between PS45,000 to PS55,000 as experience builds.
Machine learning is an emerging industry and remains an intriguing discussion in both business and academia. Many organizations are seeking engineers with experience applying this innovative technology, with jobs anticipated to increase by 344% between 2015 and 2018.
