A report from Gartner says that by 2022, the worldwide spending on cognitive and artificial intelligence systems will amount to $77.6 billion. Machine learning and artificial intelligence have the potential to create a business value of close to $2 trillion in supply chain management and another $2 trillion in global sales and marketing, as said by a report from McKinsey Global Institute.
These numbers depict that machine learning and artificial intelligence are fast-paced fields evolving every day. Every sector – be it supply chain, logistics, retail, manufacturing, healthcare, or education – is using the applications of machine learning in some or the other way. This only means that with the rise of machine learning, the demand for skilled professionals in this field is also increasing. Now is the perfect time to make your career in the field of machine learning.
To begin your career in machine learning, you first need to acquire certain skills by pursuing a Machine Learning course. One needs to acquire knowledge about time series modelling, linear and logistic regression, supervised and unsupervised learning, Naive Bayes, Kernel SVM, KMeans clustering, Decision tree, deep learning fundamentals and so on.
After pursuing machine learning certification courses and acquiring the right skills, there are various career paths that one can choose, such as –
A data scientist collects, analyzes, and interprets huge amounts of raw data with the help of predictive analysis and machine learning. From this, they gain valuable information that helps them design business strategies. A data scientist should have multiple skills such as artificial intelligence, big data analysis, machine learning, deep learning, programming, and mathematical skills. In an article by Harvard Business Review, the job title of “Data scientist” has been named as the “sexiest job of the 21st century”. A data scientist can expect to earn an average of $95,000 per annum.
While the role of a data scientist is more technical, it is the responsibility of a data analyst to acquire valuable insights and analyze and interpret these. Data analysts use their skills to identify important trends and present them in reports and other visual manners. A data analyst will have a strong background in machine learning, programming, calculus, statistics as well as economics. The average salary of a data analyst is around $87,200 per annum.
The job of a business intelligence developer is to increase an organization’s profitability by gaining business insights through huge amounts of data. Apart from machine learning and artificial intelligence skills, a business intelligence developer also needs to possess business acumen. They also optimize processes and workflows as well as design and maintain data for cloud-based platforms. The average salary of a business intelligence developer is around $75,000 per annum.
A research scientist’s job is to work in the areas of deep learning, natural language processing, reinforcement learning, computer perception and more. A research scientist shall be skilled in algorithms, parallel computing, computer architecture and distributed computing. One can expect to earn close to $80,000 per annum as a research scientist.
The aim of natural language processing is to give machines the ability to understand natural human language. Scientists of natural language processing design and develop applications and machines that can learn human language speech. These machines can also translate spoken words to other languages. Duolingo and Grammarly are two such natural language processing applications. Natural language processing scientists need to be fluent in grammar, syntax and spelling of a language along with machine learning skills. The average salary of a natural language processing scientist is around $100,000 per annum.
The job of a human-centered machine learning designer is to create intelligent systems that are able to learn behavior patterns and preferences, through pattern recognition and information processing, of individual humans. The recommendation engine of Amazon and Netflix is an example of a human-centered machine learning system. A human-centered machine learning designer should have an understanding of machine learning fundamentals, algorithms as well as a strong background in coding, mathematics, and statistics. Their average salary is around $116,000 per annum.
The most sought-after job role in the field of machine learning is machine learning engineer. Using machine learning algorithms and tools, a machine learning engineer designs and develops machine learning systems. A machine learning engineer also conducts machine learning experiments using Python, R, Java, and Scala. They need to possess strong programming skills as well as statistical and mathematical skills. They also need to be well-versed with areas such as system design, software architecture, data modelling, machine learning algorithms and data structures. A machine learning engineer can expect to earn around $150,000 per annum.
The job of a computational linguist is to help machines process human language. They develop applications associated with voice recognition, search engines, translation, automated text analysis and other such technologies. Computational linguists need to be skilled in programming languages such as Python, natural language processing and machine learning. One can expect to earn an average salary of $80,000 per annum, being a computational linguist.
An artificial intelligence engineer uses machine learning algorithms to build artificial intelligence models. They draw business insights to make business decisions, using deep learning neural networks. Using different techniques and tools, AI engineers process data and develop and maintain AI systems. Along with artificial intelligence and machine learning skills, artificial intelligence engineers have strong analytical, programming and software engineering skills. The average salary of an artificial intelligence engineer is approximately $130,000 per annum.
The job role of an artificial intelligence architect is to identify the latest market opportunities created by artificial intelligence and apply that technology to existing processes. An artificial intelligence engineer needs to possess machine learning skills, natural language processing skills and leadership skills. The average salary of an artificial intelligence architect salary is close to $150,000 per annum.