Artificial intelligence sounds mysterious and far away, but it has long been applied to all aspects of our life and work. For example, intelligent voice assistants in mobile phones, such as robot customer service, sweeping robots, and courier robots, etc.
There are fears that robots will replace humans, but a Gartner research report says artificial intelligence is an emerging field that will create more than 2 million jobs. Artificial intelligence is a broad term that includes general artificial intelligence, machine learning, expert systems, data mining, etc. In today’s world, artificial intelligence is in high demand in all walks of life — gaming, robotics, facial recognition software, weapons, speech recognition, visual recognition, expert systems, and search engines, to name a few.
If you want to develop in the field of AI, then you must first have the hard skills required in the field of AI~
Top AI Skills
Artificial intelligence as a profession requires a wide variety of skills accompanied by a lot of training. For example, machine learning engineers have the skills to create algorithms that aid in machine analysis and decision making (requiring in-depth knowledge of different programming languages). It's worth noting that all of these fields require a lot of math, and if you're weak in math, it can be hard to learn. Students who are good at mathematics are like a duck to water in the field of AI.
Here are some must-have AI skills:
- Programming language (Python, R, Java are the most necessary)
- Linear Algebra and Statistics
- signal processing technology
- Neural Network Architecture
1. Machine Learning Engineer
As one of the most sought-after jobs in artificial intelligence, machine learning engineers must possess strong software skills to apply predictive models and process massive datasets with natural language. In addition, machine learning engineers need to understand software development methodologies, agile practices, and the full range of modern software development tools, from IDEs such as Eclipse and IntelliJ, to components of continuous deployment pipelines.
Average salary: 31,500
job requirements:
- Possess a machine learning certificate
- MS or PhD in Computer Science or Mathematics
- Practical knowledge of modern programming languages such as Python, Java and Scala
- Strong computer programming skills, professional math skills, cloud application and computer language knowledge
2. Robot scientists
Robots can automate work, but they require the behind-the-scenes work of programmers to make sure the robots work properly. Robotics has a wide range of applications, from space exploration to healthcare, security and many other scientific fields. Its main function is to manufacture mechanical devices or robots that perform tasks according to human commands. Other skills required for this position include writing and operating computer programs, collaborating with other experts, and developing technical prototypes.
Average salary: 20,000 yuan
job requirements:
- Related AI Learning Certifications
- Robotics Engineering/Mechanical Engineering/Mechatronic Engineering/Electrical Engineering BS
- Persons with professional backgrounds in advanced mathematics, physical science, life science, computer science, computer-aided design and drawing (CADD), physics, fluid dynamics and materials science
3. Data Scientist
Data scientists collect, analyze, and interpret large amounts of data through machine learning and predictive analytics to gain insights beyond statistical analysis. They need to be proficient in the use of big data platforms and tools, including Hadoop, Pig, Hive, Spark, and MapReduce. Data scientists are also proficient in programming languages, including Structured Query Language (SQL), Python, Scala, and Perl, as well as statistical computing languages.
Average salary: 31,000
- Master's or Ph.D.
- SAS and R, Python coding, Hadoop platform, experience with cloud tools (such as Amazon's S3) to
- Ability to understand unstructured data
- Non-technical skills requirements include strong communication and analytical skills, intellectual curiosity and business sensitivity
4. Research Scientists
Research scientists are experts in multiple disciplines of artificial intelligence, including machine learning, computational statistics, and applied mathematics. These areas include deep learning, graphical models, reinforcement learning, computer perception, natural language processing, and data representation, among others.
Average salary: 24,000
Qualifications:
- Master's or Ph.D. in Computer Science or a related technical field
- Possess skills in parallel computing, artificial intelligence, machine learning, algorithm knowledge, distributed computing and benchmarking.
- Deep understanding of computer architecture
- Strong oral and written communication skills
5. Business Intelligence Developers
Business intelligence developers are in high demand. Its main job is to analyze complex data and look for current business and market trends to improve the profitability and efficiency of the organization. Not only do they have strong technical and analytical skills, but they also have good communication and problem-solving skills. They are responsible for designing, modeling, building and maintaining complex, extensive and highly accessible cloud-based data platform data.
Average salary: 27,000
- Bachelor's degree in Computer Science, Engineering or related field
- Knowledge of data warehouse design, data mining, BI techniques, SQL queries, SQL Server Reporting Services (SSRS) and SQL Server Integration Services (SSIS) and popular data science certificates are preferred
As technology continues to innovate, artificial intelligence brings more and more job opportunities. Experts at Gartner predict that "artificial intelligence will create more jobs than it eliminates." But to get a job in the AI field, you need to acquire the necessary knowledge and skills in the field. For example, a degree in computer science or programming skills, a background in programming languages such as Python, Java, C/C++, and experience in artificial intelligence, machine learning, or natural language processing. Not every skill needs to be mastered, but 2-3 are required to be proficient skills, so as to be able to get high wages in the competition.
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If you want to pursue a career in artificial intelligence, it's best to start today. Earning a certificate in fields like machine learning and artificial intelligence is a great start, and with the right education you can have limitless opportunities.