Top 10 career options in AI

We’ve compiled a list of the top 10 career opportunities in the field of AI for 2023, highlighting briefly the roles and responsibilities of each career path.

1. 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 ensure that AI products and services meet customer needs and are delivered on time within the budget.

2. 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 understand the features and benefits of AI products and services and use that knowledge to sell them to potential customers.

3. 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 identify areas where AI can be implemented to improve efficiency, reduce costs and increase revenue.

4. 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.

5. User Experience Specialist: User experience (UX) specialists work on developing user-friendly interfaces for AI applications. They work closely with AI software engineers and product managers to design intuitive and easy-to-use interfaces.

6. NLP Processing Specialist: NLP (Natural Language Processing) processing specialists work on developing and implementing AI models that can analyse and understand natural language. They work on developing AI models that can analyse text data, understand human speech and provide insights into customer behaviour.

7. Machine Learning Engineer: Machine learning engineers work on developing, testing, and deploying machine learning models that can analyze large datasets and make predictions. They work closely with data scientists and software engineers to develop machine learning models that can be integrated into software applications.

8. AI Software Engineer: AI software engineers are responsible for designing and developing software applications that use artificial intelligence and machine learning techniques. They work on developing AI algorithms and applications that can solve real-world problems.

9. AI Research Scientist: AI research scientists are responsible for developing and implementing AI algorithms and models. They work on cutting-edge research projects and develop new AI technologies, such as natural language processing, computer vision and robotics.

10. AI Wrangler: An AI wrangler is responsible for managing large datasets, preparing them for analysis and ensuring the data is clean, organized and ready for use. AI wranglers typically have data mining, cleaning and manipulation experience.