In the last few years, the views on AI have changed drastically, and now businesses have started to benefit from its functionality. The recent launch of ChatGPT, among other AI advancements, has played a significant role in this shift. This growing significance of AI has created a surging demand for skilled professionals in the field. Organizations worldwide recognize AI’s potential and seek AI experts to leverage its power.
Thus, a considerable shortage of qualified AI professionals leads to many opportunities for individuals interested in pursuing a career in this rapidly evolving domain. The AI industry offers many opportunities, diverse career paths, and highly competitive salaries. By embracing the potential of AI and acquiring the necessary skills, individuals can embark on rewarding careers and contribute to the ongoing advancements in this exciting domain. In this article, we will learn about some of the most popular AI jobs and what they do to help you make a sound decision for your career and future.
Why Should You Consider a Job in AI?
Artificial intelligence (AI) is rapidly changing the world, and the demand for AI talent is growing exponentially. According to the World Economic Forum, AI will create 97 million new jobs by 2025.
Here are some reasons why you should consider a career in AI:
- High demand and high salaries: The demand for AI talent is so high that salaries are correspondingly high. In the United States, the median salary for an AI engineer is $115,000, and the top 10% of earners make over $200,000.
- Challenging and rewarding work: AI is a rapidly evolving field, which means that there is always something new to learn. If you enjoy solving complex problems and working on cutting-edge technology, then a career in AI could be a great fit for you.
- Opportunities to make a difference: AI has the potential to solve some of the world’s most pressing problems, such as climate change, poverty, and disease. If you want to use your skills to make a positive impact on the world, then a career in AI could be a great way to do it.
- The global AI market is expected to reach $394.04 billion by 2025.
- The United States is the leading country in AI research and development, followed by China and the European Union.
- The most in-demand AI jobs include data scientists, machine learning engineers, and AI architects.
- AI is expected to have a major impact on the workforce, with some estimates suggesting that up to 45 million jobs could be lost to automation by 2030. However, AI is also expected to create millions of new jobs, so the overall impact on the workforce is still uncertain.
Of course, there are also some challenges to working in AI. The field is constantly changing, which can be demanding. Additionally, AI can be a complex and technical field, so it’s important to have a strong foundation in math, statistics, and computer science.
Overall, the benefits of a career in AI outweigh the challenges. If you’re looking for a challenging, rewarding, and impactful career, then AI is a great field to consider.
Now, let’s have a look at the 20 trending artificial intelligence jobs in Artificial Intelligence (AI) in 2023.
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Machine Learning Engineer
Machine learning engineers are experts in machine learning techniques and are in charge of creating and implementing algorithms and models that can analyze massive datasets to generate predictions. Their job entails a combination of tasks that involve designing, creating, and developing machine learning models.
The responsibilities of machine learning engineers include Model Development, Algorithm Implementation, and Collaborative Work. Machine learning engineers are crucial in developing and implementing machine learning models to analyze data and make predictions.
Data scientist is one of the most popular job roles nowadays as it involves using the data collected from users to draw meaningful insights. The data scientist role combines elements of several traditional and technical jobs, including mathematician, scientist, statistician, and computer programmer.
They are also responsible for analyzing and interpreting complex data using analytical, statistical, and programmable skills. They use data to develop solutions tailored to the organization’s unique needs. Data Scientists use tools like Python, R, SQL, Hadoop, Spark, Hive, Pig, NoSQL databases, and machine learning algorithms.
AI Prompt engineer
An AI prompt engineer is a new and emerging role in the field of artificial intelligence. They are responsible for creating prompts that guide the behavior and output of AI models. This involves understanding the capabilities of the AI model, the desired output, and how to best communicate with the model in natural language.
Prompt engineering is a critical skill for anyone who wants to work with large language models. These models are incredibly powerful, but they can also be unpredictable. By carefully crafting prompts, prompt engineers can help ensure that the models produce the desired output. The field of AI prompt engineering is still relatively new, but it is growing rapidly. As large language models become more powerful, the demand for prompt engineers will continue to grow. If you are interested in a career in AI, prompt engineering is a great way to get involved.
Natural Language Processing (NLP) Specialist and Chatbot Expert
The best thing about Artificial Intelligence-based Chatbots is that they don’t sound robotic but like us. This is made possible by NLP specialists. They develop models that can understand and generate human language. One of the most popular ways to do this is sentiment analysis, which is identifying and extracting subjective information from text data using natural language processing techniques.
Then there is language generation, which these experts also do. Language generation is the process of generating human-like text using machine learning algorithms. NLP specialists are responsible for developing models to understand and generate human language and then use it to develop systems that can sound and talk like us; some prominent examples include Chatbots.
Computer Vision Engineer
A Computer Vision Engineer is a professional who creates image and video analysis algorithms. They work at the crossroads of machine learning and human-like vision. Computer Vision engineers are responsible for creating and testing Computer Vision solutions for real-world problems and applications.
Computer vision is a kind of AI that lets computers and systems learn from pictures, videos, and other things. They can see and do or say based on what they learn. If AI enables computers to think, computer vision enables them to see, observe and understand. Computer vision applications can be found in various industries, including healthcare, automotive, retail, security, and others, where they have started to plan a crucial role.
A Robotics Engineer is a professional who designs and develops intelligent robots. They use computer-aided design and drafting and computer-aided manufacturing (CADD/CAM) systems to perform their tasks.
Robotics engineers make robots that can do different things, like going to faraway planets and working in factories. You can see robots everywhere, like hospitals, cars, shops, security, etc. Robots have improved because of many things, like more data, faster internet, better wireless, more accessible tools, and more innovative electronics. These things have made more people interested in robotics and the increasing demand for skilled individuals.
AI Research Scientist
An AI Research Scientist is an expert who focuses on creating innovative AI technologies and breakthroughs to enhance business operations by leveraging data more efficiently. AI Research Scientists collaborate closely with academic institutions and companies to advance the development of AI-based technologies and models. Their focus spans various areas, including creating algorithms and software solutions. With a strong foundation in computer science, AI Research Scientists possess machine learning and computer vision expertise. They need to be good at math, machine learning, deep learning, and statistics to do their work in AI. These professionals typically find employment in research institutions, educational settings, or prominent technology companies, where they engage in research and development activities.
An AI Ethicist ensures that AI systems operate with transparency, explainability, and accountability. They are responsible for addressing issues related to bias and transparency in AI systems, working diligently to identify potential biases and develop strategies to mitigate them effectively. AI Ethicists also focus on designing AI systems that uphold privacy and fundamental human rights.
AI Ethicists possess diverse backgrounds, from philosophy and law to computer science. Their interdisciplinary expertise allows them to navigate the ethical challenges surrounding AI and make valuable contributions to the responsible development and deployment of AI systems.
AI Product Manager
AI Product Managers play a critical role in developing AI products suited to customer needs. Collaborating with cross-functional teams, they define product requirements, prioritize features, and create strategic roadmaps. By balancing technical considerations with business objectives, AI Product Managers ensure that AI products are feasible and profitable.
These professionals are also responsible for overseeing AI products’ scalability, reliability, and safety. They also prioritize integrating privacy and respect for fundamental human rights into product development. With educational backgrounds in computer science or business, AI Product Managers possess the necessary expertise to navigate the intersection of technology and business strategy.
An AI Consultant is responsible for identifying business opportunities for AI implementation. They provide strategic guidance and expertise to help businesses leverage AI technologies to improve their operations. AI Consultants assist businesses in discovering areas where artificial intelligence (AI) might be utilized to improve efficiency, cut expenses, or increase income. AI consultants ensure that artificial intelligence systems are scalable, reliable, and secure. They also aim to guarantee that AI solutions are built with privacy and other fundamental human rights in mind. AI consultants are often educated in computer science or business. They work in various environments, including consulting firms, substantial technology firms, and startups.
An AI Trainer makes sure the AI models can learn and analyze patterns = right when tasked to work on a massive amount of data. They also ensure the models work well and are safe to scale. AI Trainers also ensure the data they use to teach the AI models are clean and structured and can be processed quickly. AI Trainers usually have a degree or certification in computer science and work for companies that make or use AI software, consulting, big data, and more.
An AI Programmer is responsible for writing code that enables machines to learn from data. They create algorithms that recognize patterns and make predictions based on data. They also try to ensure the accuracy and dependability of the algorithms they create. AI Programmers are responsible for troubleshooting and optimizing AI systems. They work to ensure that AI systems are scalable, reliable, and secure.
AI programmers are typically educated in computer science or software engineering. AI programming is a fun field that needs creativity, skills, and a love for new technology. AI programmers work on new AI technology and tools that can do amazing things and change the world. AI programming is a growing field with numerous chances for people who want to work in this field. With the increasingly using AI things in different places, AI programmers are greatly wanted.
AI Systems Architect
Imagine an AI Systems Architect as a skilled conductor, harmonizing the integration of AI systems into existing platforms. They are responsible for ensuring these systems work well and fast without wasting data space, computer speed, and internet speed. Their expertise lies in making well-informed architectural choices, carefully considering scalability needs, and orchestrating effective deployment strategies for AI initiatives. With a solid computer science or software engineering background, these professionals thrive in various work settings, from dynamic startups to large tech companies and consulting firms.
AI UX Designer
An AI UX designer is a professional who creates user-friendly and engaging interfaces for AI applications. They analyze the user’s needs, goals, and behaviors regarding the AI application and design intuitive and interactive interfaces that leverage the AI technology, such as chatbots, voice assistants, recommendation systems, etc. In their role, AI UX designers leverage various AI-based tools, such as machine learning, natural language processing, and computer vision, to enhance user experiences through personalization, adaptation, and intelligence. They strive to create AI-driven solutions that tailor experiences to individual users, adapting to their preferences and needs. By combining their technical expertise with a deep understanding of user needs, AI UX designers contribute to continuously improving AI-powered applications, making them more intuitive, personalized, and intelligent for users across various domains and industries.
AI Data Engineer
An AI data engineer is a professional who creates and maintains data infrastructure for AI projects. They take care of getting, changing, and putting data from different places and kinds into one data place that can help AI-based tools and products, like chatbots, voice assistants, recommendation systems, etc. They also ensure data quality and integrity by applying data validation, cleaning, standardization, enrichment, etc. Moreover, they optimize data performance, scalability, reliability, and security using appropriate data engineering tools and techniques. Additionally, they collaborate with AI developers, data scientists, and stakeholders to understand AI projects’ data requirements and deliverables.
AI Project Manager
An AI project manager is a professional who leads AI projects from start to finish. They are the people with specialization to create an outline for the members to follow to work smoothly on the project. They also have the skills to coordinate the team efforts and outputs, such as data gathering, data processing, model building, testing, launching, and measuring.
They should have the communication skills to keep the project stakeholders, such as clients, sponsors, users, and vendors, in the loop and on board. They have the control to manage the project risks, issues, changes, and quality, and the reporting to show the project’s progress and performance. Moreover, they know to apply AI project management methodologies, tools, and best practices to deliver the project successfully.
AI Business Strategist
An AI business strategist is a professional who guides AI initiatives and investments. They have the vision to develop AI strategies and roadmaps that align with the business goals and objectives. They plan to identify the AI opportunities and challenges and prioritize the AI projects and resources. They have the skills to monitor the industry trends and competitive landscape and benchmark AI performance and impact. They also have the communication to articulate the AI value proposition and business case and engage the AI stakeholders, such as executives, customers, partners, and regulators. They have the control of overseeing AI governance and ethics and ensuring AI compliance and risk mitigation. Moreover, they know to leverage the AI best practices and frameworks and foster the AI culture and capabilities.
AI Sales Specialist
An AI sales specialist is a professional who sells AI products and services. They have the skills to understand customer requirements and pain points and match them with the best AI solutions. They have the communication to present and demonstrate the AI value proposition and benefits and persuade the customer to buy. They also have the collaboration to work with the technical team to provide solutions and address any customer queries or objections. They can negotiate contracts and prices and close the deals. Moreover, they know to keep up with AI trends and innovations and identify new sales opportunities and leads.
AI Security Analyst
An AI security analyst is a professional who protects AI systems and data. They know how to find and fix weak spots and use security things like encryption, authentication, firewalls, etc. They have the communication to report and respond to security incidents and breaches and provide recommendations and solutions. They also have the collaboration to work with the AI developers, data engineers, and stakeholders to ensure compliance with data protection regulations, such as GDPR, CCPA, etc. They can monitor and audit the AI security policies and procedures and enforce the security standards and best practices. Moreover, they know to keep up with AI security threats and challenges and learn new security tools and techniques.
AI Trainer Developer
An AI trainer developer is a professional who develops AI training platforms and tools. They have the skills to automate data labeling and annotation processes, such as image segmentation, text classification, sentiment analysis, etc. They have the communication to understand the AI training requirements and specifications and provide feedback and support. They also have the collaboration to work with the AI developers, data engineers, and data scientists to streamline the training workflow and integrate the training platforms and tools with the AI systems and models. They can test and debug the training platforms and tools, ensuring their quality and performance. Moreover, they know to keep up with the AI training trends and innovations and learn new training methods and techniques.
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Cultivate a Diverse Skillset
AI encompasses a broad range of technologies and applications. It’s beneficial to develop a diverse skillset that includes proficiency in areas such as machine learning, deep learning, natural language processing, computer vision, and data analytics. Having a comprehensive understanding of these different facets of AI will make you a valuable asset to potential employers.
The field of AI is rapidly evolving, with new advancements and techniques emerging frequently. It’s crucial to stay updated with the latest trends, research papers, and industry developments. Engage in continuous learning by reading relevant publications, following AI blogs, attending conferences, and participating in online courses or webinars. Demonstrating your awareness of the latest advancements will set you apart and show your dedication to staying at the forefront of the AI field.
Become a Certified Artificial Intelligence Expert!
Artificial intelligence is a crucial driver of business and social transformation, and its influence will grow as more data and computing power are accessible. The growth will only get swifter every year, and to grow in this field, you need to understand every ins and outs in detail. To pursue a rewarding AI career, cultivate a diverse skillset. Learn data science basics like statistics and linear algebra before advancing to more complex machine learning subjects. You can start by enrolling in one of the courses by Blockchain Council, where we discuss all the essential concepts in detail and show how they can be used in real-life situations. Consider this course as a way to understand AI and other technologies as you do with a degree but with fewer constraints and more opportunities.
Frequently Asked Questions
- High demand and high salaries
- Challenging and rewarding work
- Opportunities to make a difference
- Expected growth of the global AI market
- Potential for career advancement and diverse paths
- Machine learning engineer
- Data scientist
- AI prompt engineer
- Natural Language Processing (NLP) specialist and chatbot expert
- Computer vision engineer
- Robotics engineer
- AI research scientist
- AI ethicist
- AI product manager
- AI consultant
- Strong foundation in math, statistics, and computer science
- Knowledge of programming languages such as Python and R
- Expertise in machine learning and deep learning techniques
- Understanding of data analysis and interpretation
- Familiarity with AI frameworks and tools
- Gain relevant education and certifications
- Acquire hands-on experience through projects and internships
- Stay updated with the latest trends and technologies in AI
- Network with professionals in the field
- Showcase your skills and projects through a strong portfolio
- Constantly evolving field with rapid advancements
- Technical complexity requiring strong foundational knowledge
- Potential impact on the workforce and job automation
- Ethical considerations and responsible AI development
- Demand for continuous learning and staying up-to-date with new techniques and tools