In modern times, Machine learning is one of the most popular career choices. As per statistics, it is the best job with good growth and salary. Machine learning involves the use of AI to enable machines to learn a task from their experience without feeding programs into them. Good quality data is fed into machines and then various machine learning models are used to train the machines. We are surrounded by machine learning applications in our day-to-day life it can be anything like video surveillance or the traffic alerts you receive on the phone. Machine learning jobs are awesome. But how do you get one? This article explains key roles and preparation. Excited? Let's dive in! Career paths involve understanding data, coding algorithms, and applying models.
Machine Learning Engineers
Machine learning engineers are involved in designing machine learning algorithms with the help of programming languages like Java, Python etc. Then you can perform various experiments. System design and Data Modeling are the major skills required to work as a Machine learning engineer. Tokyo Institute of Technology helps to study the theory and methodologies of Machine learning and dependable artificial intelligence, especially AI security and privacy. Machine Learning Engineers earn ₹53, 03,498 yearly on average in India. The global Machine learning market will likely grow to 225.9 billion dollars by 2030. A computer science bachelor's degree can secure a good Machine learning Engineer role.
Data Scientists
Data scientists work with high-tech tools such as machine learning and forecasting models. They dive deep into big bundles of data to reveal meaningful insights. They must know about machine learning, Hadoop, python, and the process of extracting data. The insights provided by the data scientist are used by the company executives to analyze the statistics. Data science is used to uncover the facts and findings from the raw data. Nowadays in the screening of cancer, many research institutes are leveraging the capabilities of AI and ML. University Malaya offers The Master of Data Science program. It allows graduates from science and non-science fields to learn big data's foundations. The program equips students with relevant knowledge and abilities. By 2028, the Data Science market is projected to reach 215.1 billion dollars in size. Having a Bachelor's or Master's degree can help you get a job in India's data science sector and lead to a yearly salary of around ₹12, 00,000.
NLP Scientists
NLP (Natural language processing) Scientists help in creating a machine that can learn patterns of speech and also translate spoken words into other languages. NLP scientists aim the machines to build the ability to understand humans. So, the scientist must be fluent in any one language to train the machines. Mohamed bin Zayed University of Artificial Intelligence (MBZUAI) attracts world-class researchers in AI, CS, data sciences and NLP. Situated in UAE it provides a higher degree in the subject of Natural language processing. Experts predict that Asia's NLP market will expand by 16.1 percent, hitting 18.6 billion dollars by 2030. In India, an NLP Engineer can expect an annual salary of ₹7, 00,000. Securing a job as an NLP engineer typically requires a bachelor's degree in a relevant field. Aspiring for a higher position then you have to go for a master's degree.
Business Intelligence Developer
Business Intelligence developer uses data analytics and Machine learning to collect and analyze the data to prepare a report that helps organizations understand where the company is lagging and what areas to improve. SQL, Python, Scala, Perl, etc. are required for doing the task of business Intelligence developer. SMU Singapore offers a fundamental program that imparts the necessary skills for utilizing Power BI. This includes collecting and refining data, improving data for evaluation, and creating reports and dashboards. In India, the typical annual income of a Power BI Developer is ₹16, 75,000. To secure employment as a BI developer, one needs a bachelor's degree. However, practical experience and in-depth understanding of certain data tools like SQL, and DAX is required.
Human-Centered Machine Learning Designer
Human-centred machine learning designer develops various systems that can perform human-centred Machine learning based on the patterns and information related to humans. This allows the machines to learn the preferences of individual humans. For example, Netflix is impacted by machine learning in many areas, if we want person-based content then ML plays a very important role. With the help of machine learning Netflix shapes and optimizes its movies and TV shows. Its research spans many different algorithm approaches including casual modeling and neural networks.
Conclusion
As this AI realm grows, so the need arises for professionals skilled in AI and Machine learning. Simply put, Machine learning jobs have skyrocketed in numbers recently and will keep increasing. The status of the job requirements and the compensation offered in the sector make it one of the leading career paths of the century. I hope that I have provided the facts required to begin a career as an ML engineer. Now it's your turn to choose the right path.
