With the demand for experienced and talented Deep Learning engineers increasing alongside the massive leaps in automation and Artificial Intelligence, budding engineers often wonder what the compensation is like and how the numbers range from country to country. A well-reputed Deep Learning course is the key to being exposed to the specialized field and understanding the fundamentals of this vast subject, but researching or knowing about the salaries other fellow Deep Learning engineers get offered in various countries allows potential Deep Learning talents to plan out their future and goals better. This article will talk about who a Deep Learning engineer is and the salary prospects of one.
Who is a Deep Learning engineer?
Deep Learning is a specialized branch of Machine Learning that focuses on designing and developing smart systems and machines that can learn responses on their own through experience and the trial and error method. Artificial Neural Networks, which make up the intelligent machine’s analytical and response models, are inspired by the human brain’s neural structure.
Deep Learning engineers hold expertise in the fields of Machine Learning and Deep Learning. A Deep Learning engineer’s primary goal is to use Deep Learning platforms, models, and algorithms to perform specific tasks that contribute to Artificial Intelligence. They train machines with various deep learning models involving large and complex datasets to develop intelligent thought patterns. This allows machines to perform tasks on their own without human intervention.
Further, Machine Learning engineers design automated systems that carry out predictive models based on neural networks. With each response or the system performing an operation, it uses these findings to carry out future operations more efficiently and with a greater degree of accuracy.
Notably, Deep Learning models created by Deep Learning engineers are used in various applications, including image classification, natural language processing, facial recognition, image/speech recognition, medical image analysis, fraud detection, market forecasting, marketing, analytics, data sorting, and administration.
Deep Learning engineers are expected to have strong foundations in Machine Learning basics and Deep Learning algorithms or models. Knowledge of data and data mining with a good hold over predictive analytics and exploratory data analysis is required to excel in this field. Other than these, being skilled in languages and platforms that allow Deep Learning and a solid foundation of mathematics and statistics is required to become a Deep Learning engineer.
Salary prospects of a Deep Learning engineer
The salary prospects of a Deep Learning engineer depend on the host country. In comparison to the country’s living standards, a skilled Deep Learning engineer gets compensated handsomely. The salary varies upon the experience and the talent of the Deep Learning expert. In comparison to the country’s living standards, freshers get rewarded well for their hard work. Here are some countries which are hubs for research and development and where there is ample work for Deep Learning engineers to utilize their skills effectively.
With the emergence of many Deep Learning-based startups and large corporations pursuing the subject, India has a lot of potential in this area. And, there is a high demand for Deep Learning engineers in both MNCs and local companies. Starting salaries of Deep Learning engineers in India are reported to be around Rs. 500,000. Deep Learning engineers with more than 8 years of experience can earn anything from Rs 700,000 to Rs 1,200,000 per annum. Senior-level experts with over 15 years of experience can rake in salaries of Rs 2,500,000-4,800,000 per annum.
United States of America
The United States is the hub of Deep Learning technology, with most of the biggest companies calling this enormous country their home. Many corporations pursuing advanced Deep Learning individually or specifically, and large organizations like Google, Facebook, and Tesla, who have invested heavily for their interests, are all based in the U.S. Here, the Deep Learning engineer job requirement grew exponentially to 344% between 2015 and 2018. The average base salary of a Deep Learning engineer is $146085. The average salary for a relatively inexperienced Deep Learning engineer starts from $112805 annually, and it can go upto $151271 when some experience is gained.
Deep Learning engineers get paid handsomely in the U.K. with salaries ranging from 50,221 pounds to 88,000 pounds. Deep Learning engineers are generally paid based on hours worked. And, the average pay per hour ranges from 25 pounds to 30 pounds.
With Germany being the powerhouse of Europe and the host country for many factories and industries, there is a huge requirement for Deep Learning. This is especially due to the need for research and development to improve production and machinery. Germany boasts of hundreds of world-renowned automobile and machinery manufacturing companies that are all welcoming Deep Learning into their ecosystems. The salary for Deep Learning engineers ranges from 53,064 euros to 70,000 euros in this country.
The national average salary for Deep Learning engineers in Canada is 89,608 Canadian dollars. Talented human assets can also be offered anything from $98,246 Canadian dollars to 126,000 Canadian dollars annually.
A Deep Learning engineer with 1 to 4 years of experience earns an average compensation of 67,146 Singaporean dollars, including other forms of perks and bonuses. An experienced Deep Learning engineer with 5 to 9 years of experience earns an average salary of 80,000 Singaporean dollars annually.
Australia is also picking up the road’s pace to maximize automation and technological improvements with Deep Learning. The average annual salary for a Deep Learning engineer is 137,151 Australian dollars, with 66 Australian dollars being the country’s average hourly wage. The salary of a Deep Learning engineer is between 96,150 Australian dollars and 170,639 Australian dollars.
With the demand for Deep Learning increasing every passing year, 2021 will be a successful year for individuals or organizations involved in Deep Learning. And, the future looks promising for budding Deep Learning engineers as well. If you have any queries, then let us know by dropping a comment below.