Is Machine Learning Developer A Good Career

 

Machine Learning Developer A Good Career

 

Machine Learning has a leading force, pivotal in ushering in the fourth industrial revolution. Be it retailers, automotive players, financial services firms, researchers, and game developers have used machine learning and Artificial intelligence technology like duck to water. As per a study, the global machine learning market is expected to grow to 7 billion dollars by 2023. Job openings in the field from 2018 till now have increased more than 64%, while the supply gap has increased by almost 125%.

Machine learning on the rise

Machine learning supports industries that depend on huge amounts of data and need a framework to analyze it to optimise outcomes. Machine learning is omnipresent with driverless cars from Google, fantasy sports, song recommendations in Spotify. Amazon Web services use machine learning to detect abnormal machine behaviour, researchers for finding new planets, and use cases.

 Machine Learning as a Career

 

Before thinking of a machine learning developer career, it is essential to have good background knowledge. For a job in machine learning, one needs to be familiar with new data methods and algorithms, supervised, unsupervised, and deep learning techniques used in adaptive systems. Consider Machine learning Bootcamp in the US to gain the right knowledge, learn tools and techniques from fundamentals to advance machine learning, gain insights through interviews, portfolio updating, and be part of the best companies.

 

Some areas one needs to get handy for machine learning developer are:

 

• Mathematics, including Calculus probability and linear algebra, for making standard models.
• Computer Science for understanding systematic processes that includes algorithms that could assist in processing, storage, communication, and access to information.
• Powerful data sciences tools include statistics and probability for performing technical analysis of data and help in making informed decisions.
• R/Python is among the most common programming languages among data scientists for various data science applications and projects. It has lot of features for dealing with statistics, building models, and data.
• Soft Skills is an essential skill for machine learning engineers. As they work in multifaceted teams to support the overall goals of the firms.

 

Industries need Machine Learning Engineers

Machine learning has applications in every industry imaginable, the demand for machine learning engineers is virtually universal. 

The demand for machine learning engineers is high and both traditional industries and cutting-edge merging technology require skilled candidates. Various key industries make of machine learning developers. In case you are considering a career in machine learning, machine learning bootcamp in US can help in shaping career in the following industries:

 

• Supply Chain- Machine learning assists in securing supply chains through autonomous planning, demand optimization, material source optimization, transportation management, and supplier and materials source optimization.
• Finance- Machine learning assists in financial services companies for protecting against fraud through automated authentication, fraud pattern detection, dark web monitoring, and other systems.
• Healthcare- Machine learning helps in administrating, care delivery management, diagnostics, among various other areas.
• Automotive- Vehicles have sensors collecting vast data points, Machine learning can improve predictive maintenance, autonomous driving, and failure analysis.

Machine Learning Developer Salary- As Machine learning, developers need to earn $140,235 on average in the US.

Tips to Shape career as Machine Learning Developer

Finest Machine Learning Bootcamps in US enroll candidates that have fair understanding of programming concepts and mathematics. By joining an online Machine Learning, bootcamp one would be learning about AI and ML processes and career requirements and responsibilities. It is considered a great starting point and in case one has a degree and basic understanding grasping the concepts can be easier. Secondly, building a personal portfolio of machine learning projects is another area one should work on. 

Thirdly, it can help you choose a specific career path in various roles such as data scientist, AI engineer, AI architect, business intelligence analyst, software engineer, and software developer. Some of the careers to consider are:

 

• Machine Learning Researchers
• AI Engineer 
• Data Mining and Analysis
• Machine Learning Engineer
• Data Scientist
• Business Intelligence (BI) Developer

In a nutshell, considering machine learning developer career is a wise option in the years to come. High salary packages and popular software companies require machine learning developers. Considering going through Machine learning bootcamp can be helpful to sharpen your programming skills.