Emerging Career Opportunities in Artificial Intelligence

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• 3 min read
Emerging Career Opportunities in Artificial Intelligence

The rapid advancements of artificial intelligence (AI) are transforming industries and creating a diverse array of career opportunities. As businesses increasingly adopt AI into their operations, the demand for skilled professionals is surging. This transformation is creating a wide range of career opportunities that require a blend of technical expertise and innovative thinking. In this article, we will be focusing on the various careers involving artificial intelligence.

Find remote jobs in artificial intelligence, machine learning and data science

What is artificial intelligence?

Artificial intelligence, commonly known as AI, is a set of technologies that enable computers to perform a variety of advanced functions. It basically refers to computer systems capable of performing complex tasks that historically only a human could do. As artificial intelligence (AI) continues to advance, so does their impact on various companies, leading to new roles that require a blend of technical skills, ethical considerations, and creative problem solving.

Career Opportunities in Artificial Intelligence

AI Research Scientist

An AI researcher is someone who designs and creates artificial intelligence. They undertake detailed studies to innovate and improve upon existing AI systems. As an AI Research Scientist, you will be at the forefront of artificial intelligence research and development. The role demands a blend of theoretical knowledge and practical expertise in AI, with responsibilities that span developing innovative AI technologies, conducting empirical research, and implementing AI solutions in practical applications. Responsibilities include:

  • Conduct extensive testing and validation of AI systems.
  • Mentor junior researchers and contribute to collaborative learning.
  • Conceptualise and execute pioneering AI research projects.
  • Develop state-of-the-art algorithms and computational models.
  • Engage with stakeholders to identify research opportunities and directions.

Requirements

  • PhD or equivalent experience in computer science, AI, or a related technical field.
  • Proficiency in programming languages such as Python, Java, or experience in AI research, with publications in renowned journals.

Salary: $130,117

AI Engineer

An AI engineer is responsible for engineering, programming, and training the complex networks of algorithms that make up AI so that they can function like a human brain. Their role is critical in bridging the gap between theoretical AI developments and practical, real-world applications, ensuring AI systems are scalable, sustainable, and ethically aligned with societal norms and business needs. AI engineers also create weak or strong AIs, depending on what goals they want to achieve. Responsibilities include;

  • Maintain the underlying AI infrastructure.
  • Develop and maintain AI strategies
  • Convert the machine learning models into application program interfaces (APIs) so that other applications can use them.
  • Creating data transformation infrastructure
  • Keep up-to-date on AI advancements.

Requirements/Skills needed

  • Knowledge of technical skills such as programming skills, algorithms and frameworks, probability, statistics, and linear algebra
  • Bachelor's degree in Computer Science and Information Technology.

Salary:$115,623

Data Mining Analyst

A data mining analyst is a professional who looks for patterns, insights, and correlations inside large datasets. Data mining represents a quiet revolution in the world of business and science, exploring vast amounts of data to uncover valuable patterns. It combines statistics, artificial intelligence (AI), and machine learning to identify hidden trends and patterns. Typical responsibilities of a data mining analyst include:

  • Performing strategic data analysis and research
  • Identifying opportunities to improve productivity
  • Looking at user behaviours to find common patterns or trends that may be used to improve a product's performance.

Requirements

  • Proficiency in programming languages (Python and R are the most popular)
  • Ability to process big data frameworks
  • Basic statistics knowledge

Salary:$68,583

UX Developer

A UX developer is the person who designs and develops the layouts, programs, and concepts that shape the user experience (UX). Artificial intelligence gives the UX developer dozens of tools at their fingertips to automate routine tasks, tap into large volumes of user data, and even generate polished UI designs in seconds. While AI isn't a replacement for skilled designers, it can be a great support throughout the UX design process. Responsibilities include;

  • Creating user personas
  • Creates prototypes and mainframes, tests usability, and iterates designs to optimise user satisfaction.
  • Creating a seamless experience that is visually appealing, enjoyable, and easy to navigate.

Requirements

  • Bachelors in graphic design, interaction design, human-computer interaction, or a related field.
  • Proficiency in design tools such as Adobe XD, Sketch, Figma, or InVision.

Salary:$122,130

Algorithm Developer

An algorithm engineer is responsible for improving AI applications to help clients or employers identify patterns or problems in data sets. They transform theoretical concepts into practical applications, influencing technological advancements and problem-solving approaches. Responsibilities include;

  • Writes new algorithms and maintains them to improve AI systems
  • Reporting the success of the algorithms for effectiveness in AI tools, software, and machine learning
  • Breaking big data into smaller groups to manage and use

Requirements

  • Proficiency in machine learning and algorithms
  • Knowledge of technical skills
  • Analytical thinking

Salary:$171,319

Conclusion

The landscape of AI careers is continually evolving, offering opportunities across various sectors. As technology advances, professionals who adapt and acquire new skills in AI will be well-positioned to thrive in this dynamic field. Staying informed about trends and continuous learning will be crucial for anyone looking to enter or advance in the AI job market.