Artificial intelligence is constantly evolving, and with it comes a growing demand for skilled professionals who can apply AI techniques to solve real-world problems.
We’ve compiled a list of the top 10 career opportunities in the field of AI for 2023, highlighting the roles and responsibilities of each career path, along with the necessary skills and qualifications.
From AI product managers to AI wranglers, read on to discover the top 10 AI career opportunities for professionals looking to work in this exciting and rapidly evolving field.
10. AI Product Manager
AI product managers are responsible for managing the development and delivery of AI products and services. They typically have experience with project management, software development, and AI technologies. They work closely with AI software engineers, data scientists, and sales directors to ensure that AI products and services meet customer needs and are delivered on time and within budget.
9. AI Sales Director
AI sales directors work on selling AI products and services to businesses. They typically have a background in sales and marketing and have experience with AI technologies and software applications. They work closely with AI product managers and software engineers to understand the features and benefits of AI products and services and use that knowledge to sell them to potential customers.
8. AI Consultant
AI consultants work with businesses to help them understand how artificial intelligence and machine learning technologies can be applied to their operations. They typically have a strong background in artificial intelligence, business operations, and project management. They work closely with businesses to identify areas where AI can be implemented to improve efficiency, reduce costs, and increase revenue.
7. AI Data Analyst
AI data analysts work on analyzing and interpreting large datasets to provide insights into customer behaviour, market trends, and other important information. They typically have experience with data analysis tools such as SQL and Python and have a background in statistics, machine learning, or data science. They work closely with data scientists and AI software engineers to develop models and applications that can help businesses make data-driven decisions.
6. User Experience Specialist
User experience (UX) specialists work on developing user-friendly interfaces for AI applications. They typically have a background in design, human-computer interaction, or user experience and have experience with UX design tools such as Sketch and Adobe XD. They work closely with AI software engineers and product managers to design intuitive and easy-to-use interfaces.
5. NLP Processing Specialist
NLP (Natural Language Processing) processing specialists work on developing and implementing AI models that can analyse and understand natural language. They typically have a background in linguistics, computer science, or artificial intelligence and have experience with programming languages such as Python and Java. They work on developing AI models that can analyse text data, understand human speech, and provide insights into customer behaviour.
4. Machine Learning Engineer
Machine learning engineers work on developing, testing, and deploying machine learning models that can analyze large datasets and make predictions. They typically have experience with programming languages such as Python, R, and Scala, and have a strong background in machine learning algorithms, statistics, and data analysis. They work closely with data scientists and software engineers to develop machine learning models that can be integrated into software applications.
3. AI Software Engineer
AI software engineers are responsible for designing and developing software applications that use artificial intelligence and machine learning techniques. They typically have a background in computer science or engineering and have experience with programming languages such as Python, Java, and C++. They work on developing AI algorithms and applications that can solve real-world problems.
2. AI Research Scientist
AI research scientists are responsible for developing and implementing AI algorithms and models. They typically hold advanced degrees in computer science, engineering, or mathematics and have a strong background in machine learning, deep learning, and statistics. They work on cutting-edge research projects and develop new AI technologies, such as natural language processing, computer vision, and robotics.
1. AI Wrangler
This is you -- if not today, then in the future. An AI wrangler is responsible for managing large datasets, preparing them for analysis, and ensuring the data is clean, organised, and ready for use. They work closely with data scientists, machine learning engineers, and AI researchers to help them obtain the necessary data they need. AI wranglers typically have data mining, cleaning, and manipulation experience.
All of these will be essential areas of work in 2023 and beyond, so everyone will have to develop AI wrangling skills to some degree to keep up with the new normal in the workplace. Start using ChatGPT and creative tools like MidJourney today to stay ahead of the curve.