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Machine learning is one of the predominant career for anyone who want drive into the modern economy. Top positions in Machine Learning provides the best salaries as they will be increasing their experience with knowledge for the best contribution to the company. Chosing ML is one of the best choice one could ever make cause of its high packages and there are some best jobs that one can get with high salaries like Business Intelligence Developer, Human-centred machine learning designer, NLP scientist, Software developer, Data SCientist, robotics Engineer, Machine Learning Engineer. This ML involves learning of Languages and coding like R, C++, JAVA, JAVA script, Python from low level to high level as it increases the demand for knowledged one.
Recent Data shows that around 2.3 million jobs would be created in AI and ML across the world and it may be constatntly increasing time to time and ML engineers are considered as high salary payers and it goes above 20 LPA based on work experience and knowledge and this is one of the best example of the low supply to high demand.
Machine learning Engineers are responsible for developing and improving software based systems and create automative tool for the better imrpovement in the operations and increase the effeciency of systems. But they must posses knowledge and strong skills in Software architecture and Development. Its scope has grown so much and it mainly focuses on Spam filtering, fraud detection, smart healthcare system, speeach recogntion and smart transportation are some major usages in Machine Learning Technology.
But lets know what exactly ML?
Machine Learning involves the use of Artificial Intelligence to enable machines to learn a task from experience withouth programming then specifically about the task. This Process Involves providing them inputs which is the data and different algorithms and it totally upto s what kind of data we are poroviding to get the ojutput to get a task finished according to our need.
Why do we need to pursue it mainly?, Becaus ML is one of the Top skills for the future, It helps to work on real challenges in the changing economy, it helps to learn and grow into better fields with the better knowldge, it helps to build a lucrative caree and it is side step into data science, and it is one of the bets career path as the graph increases. Career path be like Probability and statistics and system design after using ML Algorithm and Libraries and data modeling followed by Programming Languages.
There are some variety career paths in the field of Machine Learning.
Machine Learning Developer: A machine learning developer is responsible for building and implementing machine learning models and algorithms into various applications. They are often responsible for ensuring that the models are accurate, efficient and can handle large amounts of data.
Data Engineer: A data engineer is responsible for designing and maintaining the infrastructure and tools needed to store, process, and analyze large amounts of data. They work closely with data scientists and machine learning engineers to ensure that the data is properly cleaned, formatted, and stored for use in machine learning models.
Artificial Intelligence Engineer: Artificial Intelligence Engineer are responsible for building and implementing AI systems, which can include machine learning models, natural language processing systems, and computer vision systems. They may work in industries such as healthcare, finance, transportation, and retail.
Computer Vision Engineer: Computer Vision engineers work specifically in the field of computer vision, which involves using machine learning to enable computers to understand and interpret visual data from the world around them. They work on image and video analysis, object detection, and other related tasks.
Business Intelligence Analyst: A business intelligence analyst uses machine learning to analyze business data and make predictions about future trends. They work with management to make data-driven decisions and provide insights to improve business performance
Machine Learning Engineer: A machine learning engineer is responsible for designing, building, and deploying machine learning models. They work closely with data scientists and software engineers to develop and implement machine learning systems.
Research Scientist: A research scientist focuses on researching and developing new machine learning algorithms and technologies. They often work in academia or research institutions, and may also work in industry to develop new products and services.
Data Scientist: A data scientist is responsible for collecting, analyzing, and interpreting large amounts of data. They use machine learning algorithms to find patterns and insights in the data, and
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