Introduction to Careers in Machine Learning
Machine learning is the field of AI that provides the ability for the system to learn on its own without any human intervention at higher accuracy, due to which it is highly required in the area of the Information Technology Industry and the developers working in these technologies are assigned the role of Machine Learning Engineer. Initially, it is followed by the Architect level position, whose work is to design the prototype for the applications that need to be developed; starting salary of the machine learning engineer, as per the American website, is 100,000 dollars annually.
Education Required for Machine Learning
Machine Learning needs a lot of basic computer science concepts, and one should be strong in computer science concepts such as Mathematical, Data Structures, and Algorithms subjects like computations, statistics, etc. Strong knowledge of basic mathematics is also recommended. Machine Learning is the core component of Artificial Intelligence, where one needs to show much interest and enthusiasm in learning these concepts.
- Machine Learning is evolving quite rapidly and gradually nowadays. Many technology professionals are required in the coming years in the area of Machine Learning.
- Machine Learning includes technology, mathematics, statistics, business knowledge, and many technical and logical skills to excel in this area. Data analysis is one of the main elements of the Machine Learning area, where this area mainly depends on data in which the machine learns independently.
- This requires a lot of valuable data to be processed before a machine learns. A Data Analyst can easily transform his/her career in Machine Learning. Python is the most used programming language in the area of Machine Learning.
Career Path
Machine Learning reduces many human efforts easily by reducing pain and errors.
- The career path initially starts as a Machine Learning Engineer, who will be developing applications that perform some common tasks done by human beings
- The Architect level position will follow a Machine Learning Engineer role.
- Even a software engineer with some years of experience can switch careers in the Machine Learning area. A Python Developer or a data scientist can also easily switch careers in Machine Learning.
- Persons, even without any experience in software engineering, can also start their careers in Machine Learning if they have some strong knowledge of computer science, mathematics, statistics, etc.
Job Positions or Application Areas
In the area of Machine Learning, there are different roles available in the information technology industry to pursue the career are such as Machine Learning Engineer, Senior Machine Learning Engineer, Lead Machine Learning Engineer, Machine Learning Engineer Front Office and Back office, Principal Engineer – Machine Learning, Machine Learning Software Engineer, Data Scientist, Senior Data Scientist, Data Scientist IT, Senior Data Scientist IT, etc. The Machine Learning Engineer possesses some strong core knowledge of Computer Science concepts, and a solid Mathematics background with Statistics as well.
Salary
The average salary pay of a Machine Learning Engineer in the United States is $100,956 per year as per the top American website that provides salary and compensation information about different companies Payscale.com. Moreover, this position has candidates with no more than 10 years of experience in the industry.
The national average salary for Machine Learning, as mentioned in another top salary information website Glassdoor.com is $120,931 in the United States.
The most famous website Indeed.com also mentions that the average salary for careers in the Machine Learning area is $135,246 per year.
The average median salaries for the different SharePoint career paths are as below:
- Data Scientist (US$69000 – US$133000)
- Senior Data Scientist (US$98000 – US$160000)
- Machine Learning Engineer (US$77000 – US$155000)
- Data Scientist in IT (US$69000 – US$129000)
- Senior Data Scientist IT (US$92000 – US$164000)
A Machine Learning Engineer earns a median salary of around USD 112,622 in the United States.
Career Outlook in Machine Learning
There are multiple and different career paths in the area of Machine Learning, and also the average salaries are big figures in the Machine Learning career path. This suggests that the future for one who wants to enter into the area of Machine Learning will be bright and exciting.
- There are also multiple career paths to move on after entering into the Machine Learning Engineer area, like Artificial Intelligence, Data Science, Data Analytics, etc.
- An IT professional with some good communication skills and a strong technical skillset with a solid mathematics or statistics background can reach some top heights in their careers, like Senior Architects or Senior Subject Matter Experts in the career of Machine Learning or Artificial Intelligence.
- The requirements for job positions in the area of Machine Learning Engineer in the United States are increasing daily in large numbers. Because of the day-to-day routine activities or tasks in large customer-based companies, the job handling responsibilities need to be very accurate and error-free for successful business deliveries to the customers.
- Machine Learning Software applications or products are a great need for businesses to maintain the customers’ content data secure, Machine Learning Engineer is one of the best technological advancements available in the market to provide some high complexity business solutions.
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