AI is not only a fascinating and exciting field to explore, but also rewarding one to pursue as a career. LinkedIn reports high demand and $136,000 avg. salary in US. Various roles for diverse backgrounds in software, data, research, or business. Match your goals in AI jobs.
In this article, we will introduce you to the top 10 jobs in artificial intelligence that you can consider for your future career. We will also provide some information on the responsibilities, skills, qualifications, and salary ranges of each AI jobs. Finally, we will give you some tips on how to start your AI journey and land your dream AI jobs.
What is AI and Why is it Important?
AI is the branch of computer science that deals with creating machines or software that can perform tasks that normally require human intelligence, such as reasoning, learning, decision making, perception, etc. AI can be divided into two main categories: narrow AI and general AI.
Narrow AI refers to systems that can perform specific tasks, such as face recognition, speech recognition. General AI refers to systems that can perform any task that a human can do, such as understanding natural language, solving complex problems. General AI is still a hypothetical concept, while narrow is already widely used in various domains.
Artificial Intelligence is important because, it can help us diagnose diseases, optimize traffic, recommend products, generate music, translate languages, etc. Moreover, AI can enable us to explore new frontiers of knowledge and innovation, such as space exploration, quantum computing, or brain-computer interfaces.
Top 10 AI Jobs
According to LinkedIn, hiring growth for AI jobs has increased by 32% since 2019. However, not all AI jobs are the same. There are different types of AI roles that require different skills, experience, and education. In this article, we have listed the top 10 high-demand and high-paying AI jobs that you can pursue in 2023. Top 10 AI Jobs:
Machine Learning Engineer
A machine learning engineer uses algorithms to create, train, and deploy data-driven models, solving problems and generating insights. They collaborate with data scientists and software engineers to build scalable, robust systems for handling big data and complex computations.
Machine learning engineers need computer science, math, stats, and engineering skills. They code in Python, Java, C++, or R, using frameworks like TensorFlow, PyTorch, Scikit-learn, or Spark. Knowledge in supervised/unsupervised learning, deep learning, NLP, computer vision, and reinforcement learning is essential.
In India, the average annual salary for a machine learning engineer stands at ₹6.4 lakh, while in the US, it reaches $131,000. High-demand companies like Google, Amazon, Microsoft, Facebook, and IBM frequently recruit machine learning engineers for their expertise.
A data scientist is a professional who collects, analyzes, and interprets large amounts of data using various methods and techniques such as statistics, machine learning, data mining, or visualization. Data scientists use their skills and knowledge to extract valuable insights from data that can help businesses make better decisions their services.
Data scientists possess backgrounds in math, stats, computer science, or related fields. They excel in programming (Python, R, SQL) and tools (NumPy, Pandas, Matplotlib, Seaborn). They handle diverse data sources: databases, APIs, web scraping, and cloud platforms.
In India, data scientists earn an average annual salary of ₹5.7 lakh, while in the US, it’s around $113,000. Prominent companies like Netflix, Spotify, Uber, Airbnb, and LinkedIn actively seek out data scientists for their valuable skills and insights.
AI researchers are experts who study AI theory, applications, ethics, and methods. They push boundaries by creating innovative algorithms, models, and systems, publishing their valuable work in academic journals and conferences, advancing AI knowledge.
AI researchers typically hold a PhD in computer science, math, or engineering, with strong programming skills in Python, C++, or MATLAB. They’re well-versed in AI concepts, including ML, DL, NLP, computer vision, and they use tools like TensorFlow, PyTorch, Keras, and Jupyter Notebook.
The average salary of an AI researcher in India is ₹8.9 lakh per year, while in the US it is $135,000 per year. Some of the top organizations that hire AI researchers are Google Research, Facebook AI Research, Microsoft Research, IBM Research, and OpenAI.
An AI ethicist assesses AI’s ethical effects on society, human rights, and more, striving for responsible, transparent, and fair AI use. AI ethicists also provide guidance and recommendations on how to address the ethical challenges and dilemmas that arise from AI applications such as bias, privacy, accountability, or safety.
AI ethicists typically come from fields like philosophy, ethics, sociology, or law. They understand AI technologies like machine learning, computer vision, and robotics. Their skills include critical thinking, communication, problem-solving, and collaboration.
The average annual salary for an AI ethicist in India is around ₹6.5 lakh, while in the US, it’s approximately $97,000. Notable organizations that recruit AI ethicists include tech giants like Google, Microsoft, IBM, Accenture, as well as global entities like UNESCO.
Business Intelligence Developer
A business intelligence developer designs data solutions, enabling businesses to derive insights and enhance efficiency. They use data warehousing, modeling, visualization, reporting, and dashboards to create effective data-driven products or services that can meet the needs and expectations of their clients or users.
Business intelligence developers come from computer science, business, or related fields. They excel in SQL, Python, or R, and tools like Tableau, Power BI, or Oracle. They understand business processes in areas like finance, marketing, and operations.
The average annual salary for a business intelligence developer in India is approximately ₹5.1 lakh, while in the US, it’s around $86,000. Major companies hiring for this role include Amazon, Deloitte, Capgemini, Infosys, and Wipro, offering exciting opportunities in the field.
AI Product Manager
An AI product manager oversees the creation of AI products or features that provide customer solutions and value. They collaborate with stakeholders to define vision, strategy, and specifications. They manage execution, launch, and analyze outcomes and feedback.
AI product managers come from computer science, engineering, or business fields, with product management skills like agile, leadership, and collaboration. They’re familiar with AI concepts, including machine learning, natural language processing, and computer vision.
The average salary of an AI product manager in India is ₹12.8 lakh per year, while in the US, it is $122,000 per year. Some of the top-tier companies actively hiring AI product managers include industry giants like Google, Facebook, Netflix, Tesla, and Spotify, offering enticing opportunities in this dynamic field.
Natural Language Processing Engineer
A natural language processing engineer utilizes techniques and algorithms to analyze, understand, and manipulate natural language data like text and speech. They tackle tasks including sentiment analysis, chatbots, speech recognition, and machine translation.
Natural language processing engineers typically have a background in computer science, linguistics, or related fields. They know how to code in Python, Java, or C#, and use tools like NLTK or SpaCy. They also understand how languages work, such as grammar, meaning, or context.
The average salary of a natural language processing engineer in India is ₹6.8 lakh per year, while in the US it is $114,000 per year. Some of the top companies that hire natural language processing engineers are Google, Amazon, Microsoft, IBM, and Apple.
Computer Vision Engineer
A computer vision engineer is a professional who applies computer vision techniques and algorithms to process and analyze visual data such as images or videos. Computer vision engineers work on various tasks such as face recognition, object detection, scene understanding, image segmentation, or video analysis.
Computer vision engineers make computers see and understand images. They code in Python, C++, or MATLAB, and use tools like OpenCV or TensorFlow. they have knowledge of computer vision concepts such as image processing, feature extraction, classification, or convolutional neural networks.
Computer vision engineers are professionals who use computers to analyze and understand images. They can work on various projects, such as face recognition, self-driving cars, video streaming, or photo editing. Depending on where they work, they can earn different amounts of money.
A robotics engineer is a professional who designs and develops robots that can perform various tasks or functions. they work on how robots look, work, move, and think. Robotics engineers work on various applications of robotics such as industrial automation, medical devices, autonomous vehicles, or entertainment.
Robotics engineers typically have a background in mechanical engineering, electrical engineering, computer engineering, or related fields. They know how to make machines, how to code them, and how to use tools like Arduino or Lego. They also know how machines move, sense, act, and find their way.
Robotics engineers are professionals who create and program robots that can perform various tasks or functions. They can work in different fields and industries, such as manufacturing, healthcare, space exploration, entertainment, etc. Robotics engineers earn different amounts of money depending on where they work and how experienced they are.
AI consultants help businesses use artificial intelligence to do better. They find out what businesses need and want from AI, check their data and technology, make and use AI solutions, and see how they work and help. AI consultants also help businesses follow good and fair rules for AI.
AI consultants help businesses use artificial intelligence. They studied computers, engineering, or business. They worked on projects, consulting, or analytics. They can talk, show, lead, or work with others. They know about AI things like machine learning, language, vision, or robots.
AI consultants are professionals who advise and assist businesses and organizations on how to use artificial intelligence to improve their performance, efficiency, and innovation. They can work on various aspects of AI such as strategy, implementation, optimization, or evaluation.
What are the Skills and Qualifications Required for AI Jobs?
AI jobs require a combination of technical skills, domain knowledge, and soft skills. The technical skills include programming languages (such as Python, Java, C++, etc.), frameworks (such as TensorFlow, PyTorch, Keras, etc.), tools (such as Jupyter Notebook, GitHub, etc.), and concepts.
The domain knowledge includes the specific applications or problems that you want to work on using AI techniques (such as computer vision, natural language processing, recommender systems, etc.). The soft skills include communication skills, analytical skills, creativity skills, and ethical skills.
The qualifications required for AI jobs vary depending on the level and type of the job. Generally speaking, you need at least a bachelor’s degree in computer science or a related field to enter the field of AI. However, some employers may prefer candidates with a master’s degree or a PhD in AI or a related field.
Additionally, some employers may require certifications or courses in specific areas of AI (such as machine learning or deep learning). You can also demonstrate your skills and knowledge by building projects or portfolios using online platforms (such as Kaggle or Coursera) or participating in competitions or hackathons.
What are the Benefits of Working in AI?
- High Salary: AI roles pay well (avg. $111,118 in the US), with top-paying jobs like ML engineer, data scientist, and AI architect.
- High Demand: AI jobs highly sought after (74% annual growth) in tech, with industries like tech, education, finance, and healthcare hiring.
- High Impact: AI Jobs can change society, affecting domains like healthcare, education, environment, and advancing technology.
How to Find and Apply for AI Jobs?
- Identify Interests & Goals: Define AI project interests, skills, roles, and industries you’re targeting.
- Build Resume & Portfolio: Highlight AI skills, projects, use platforms (GitHub, Kaggle) and share links.
- Search for Opportunities: Use job boards, networks, communities, blogs, events; use keywords and filters.
- Apply Smartly: Tailor resume, research companies, show enthusiasm, and prepare for interviews.
Frequently Asked Questions
What are the benefits of working in Artificial Intelligence?
AI Jobs benefits: solving problems, high demand, lucrative, diverse careers, constant learning due to rapid evolution.
What are the Challenges of Working in Artificial Intelligence?
AI Jobs challenges: ethical dilemmas, technical limitations, competition, skill updates due to constant change.
What are the Skills required for AI Jobs?
AI jobs demand: programming (Python, Java, etc.), math (calculus, stats), analysis (ML, data mining), problem-solving (neural nets, NLP), communication, creativity.
What are the Qualifications Required for Working in Artificial Intelligence?
AI Jobs qualifications: degree in CS, math, engineering; experience/internship; certs like Coursera, Udacity, edX, or IBM.
How to keep up with the Latest Trends and Developments in Artificial Intelligence?
Stay updated in AI: Read from MIT Tech Review, blogs; watch Lex Fridman Podcast, TED Talks; learn on Coursera, Udacity, Kaggle.
Artificial intelligence is one of the most exciting and promising fields of the 21st century. It has the potential to transform various industries and sectors, from healthcare to entertainment, from education to finance, and from agriculture to defense.