Artificial intelligence (AI) is a rapidly growing field that has transformed many industries in recent years. As the adoption of AI in various fields increases, there is a growing demand for skilled professionals who can work on the development and implementation of AI techniques.
A recent Pitchbook survey of 58 global venture capital (VC) investors across industries showed that AI will see the highest growth and adoption over the next 12 months.
AI careers are not only in demand, they offer some of the highest paying jobs in the tech industry. This article describes nine high-paying AI careers you can pursue.
machine learning engineer
Machine learning engineers build and maintain AI models that can learn and make decisions without human intervention. They work on developing algorithms and training models with large amounts of data. This algorithm makes it easy for machine learning engineers to sift through huge data sets.
Skills Required to be a Machine Learning Engineer
- programming skills
- Understanding linear algebra, probability, and statistics
- Spark & Big Data Technology
- Algorithms and Frameworks
The average machine learning engineer salary is about $142,296 per year. The average work experience he has is 2-4 years.
data scientist
Data scientists analyze large amounts of data to identify patterns and trends. They work on developing predictive models and algorithms to solve complex business problems.
Skills required for a data scientist
- Data visualization and wrangling
- Processing large datasets
- Statistical analysis and calculation
- cloud computing
The average AI data scientist salary is about $144,804 per year.
AI research scientist
AI research scientists work to develop and improve AI technology. They are responsible for researching and implementing new AI algorithms and architectures.
Skills required for researchers
- Experience with machine learning, deep learning, and neural networks
- Experience with data science techniques such as feature engineering, model selection and validation, and hyperparameter tuning
- Experience building large-scale distributed systems for training models (e.g. distributed TensorFlow)
- programming experience
The average salary of an AI research scientist is approximately $161,749 per year.
robotics engineer
Robotics engineers design and develop robots that can perform complex tasks. They work on algorithms and sensors that allow robots to navigate and interact with their environment.
Skills Required for Robotics Engineers
- programming skills
- linear algebra, probability, statistics
- Spark and big data technology
- Algorithms and Frameworks
The average salary for a robotics engineer is approximately $124,821 per year.
computer vision engineer
Computer vision engineers develop AI technologies that enable machines to interpret and understand visual information. They work on developing algorithms that can recognize images, videos, and objects.
Skills Needed to be a Computer Vision Engineer
- Programming knowledge of Matlab, Python, Java, and C++
- Ability to develop image analysis algorithms
- Experience using machine learning frameworks such as Tensorflow, Keras, PyTorch
- Understanding dataflow programming
The average salary of a computer vision engineer is approximately $140,845 per year.
Natural Language Processing (NLP) Engineer
NLP engineers work on developing AI techniques that can understand and interpret human language. They are working on developing algorithms that can analyze and interpret text and speech.
Skills required for a natural language processing engineer
- Programming knowledge such as Python, Java, and R
- statistical analysis
- machine learning method
The average salary of an NLP engineer is approximately $101,782 per year.
AI Product Manager
AI product managers oversee the development and implementation of AI technologies. They work on identifying business opportunities and defining product requirements.
Skills required for an AI product manager
- Software Development
- project management
- AI technology
The average salary for an AI Product Manager is approximately $184,664 per year.
AI Ethicist
AI ethicists work to ensure that AI technologies are developed and implemented ethically. They are working to develop policies and guidelines to ensure that AI technology does not harm society or discriminate against individuals.
Skills Needed for AI Ethicists
- Process mapping and improvement
- Research consultation
- Project management by DevOps teams to build ethics protection into the AI DevOps pipeline
The average salary of an AI ethicist is about $137,000 per year.
AI Architect
AI architects design and oversee the implementation of large-scale AI systems. They should have expertise in AI technology, software development, and project management.
Skills to become an AI Architect
- Mastering ML and deep learning frameworks (such as TensorFlow) and ML methodologies
- Familiarity with advanced analytics tools
- Knowledge of applied mathematics.
According to Glassdoor, the average annual salary for an AI architect is about $153,266.
wrap up
AI is a rapidly growing field, offering many high-paying career opportunities. From machine learning engineer to AI marketing manager, there are many roles in AI that lead to lucrative careers.
A career in AI requires a strong foundation in mathematics, programming, and data analysis. Acquiring the necessary skills and knowledge will enable you to build a successful career in this exciting field.
