AI is a rapidly evolving field that offers many exciting and rewarding career opportunities

Artificial intelligence (AI) is a rapidly evolving field that has applications in various industries and domains, such as healthcare, education, finance, entertainment, and more. AI professionals are in high demand, as they can design, develop, and deploy AI solutions that can solve complex problems and enhance human capabilities.

1. Machine learning engineer: A machine learning engineer is a professional who builds and trains machine learning models, such as neural networks, decision trees, and support vector machines, to perform tasks like classification, regression, clustering, and recommendation. Machine learning engineers also deploy and maintain these models in production environments, and evaluate their performance and accuracy.

2. Data scientist: A data scientist is a professional who analyzes and interprets large and complex data sets, using various tools and techniques, such as data mining, data visualization, data wrangling, and data storytelling. Data scientists also use machine learning and AI to generate insights and predictions that can help businesses and organizations make better decisions and optimize their processes.

3. AI research scientist: An AI research scientist is a professional who conducts scientific research and experiments on AI topics, such as natural language processing, computer vision, speech recognition, and reinforcement learning. AI research scientists also develop new algorithms, methods, and frameworks for advancing the state-of-the-art in AI.

4. AI ethics consultant: An AI ethics consultant is a professional who advises and guides businesses and organizations on the ethical, social, and legal implications of using AI. AI ethics consultants also help to design and implement AI solutions that are fair, transparent, accountable, and respectful of human values and rights.

5. Robotics engineer: A robotics engineer is a professional who designs, develops, and tests robots and robotic systems, using AI, machine learning, computer vision, and sensor fusion. Robotics engineers also program and control the robots' movements, behaviors, and interactions with humans and the environment. 

6. AI product manager: An AI product manager is a professional who oversees and manages the development and launch of AI products, such as apps, platforms, or devices. AI product managers also define the product vision, strategy, and roadmap, and coordinate with the stakeholders, such as the engineers, designers, marketers, and customers.

7. AI solutions architect: An AI solutions architect is a professional who designs and implements AI solutions for specific business or organizational problems, such as customer service, fraud detection, or sentiment analysis. AI solutions architects also evaluate and select the best AI technologies, tools, and frameworks for the given use case, and ensure the scalability, reliability, and security of the AI solutions.

8. Natural language processing engineer: A natural language processing engineer is a professional who builds and trains natural language processing models, such as word embeddings, recurrent neural networks, and transformers, to perform tasks like text analysis, text generation, machine translation, and sentiment analysis. Natural language processing engineers also deploy and maintain these models in production environments, and evaluate their performance and accuracy.

9. Computer vision engineer: A computer vision engineer is a professional who builds and trains computer vision models, such as convolutional neural networks, generative adversarial networks, and object detection models, to perform tasks like image classification, face recognition, scene understanding, and image synthesis. Computer vision engineers also deploy and maintain these models in production environments, and evaluate their performance and accuracy.

10. Business intelligence developer: A business intelligence developer is a professional who creates and maintains business intelligence tools and systems, such as dashboards, reports, and data warehouses, using AI, machine learning, and data analytics. Business intelligence developers also provide data-driven insights and recommendations to businesses and organizations and help them improve their performance and efficiency.