{"id":25554870,"date":"2023-02-23T15:38:59","date_gmt":"2023-02-23T10:08:59","guid":{"rendered":"https:\/\/entri.app\/blog\/?p=25554870"},"modified":"2023-03-24T12:29:16","modified_gmt":"2023-03-24T06:59:16","slug":"career-opportunities-in-artificial-intelligence","status":"publish","type":"post","link":"https:\/\/entri.app\/blog\/career-opportunities-in-artificial-intelligence\/","title":{"rendered":"Career Opportunities in Artificial Intelligence"},"content":{"rendered":"

Artificial Intelligence (AI) is all around us, from music preferences to home appliances and healthcare. AI has made a lot of impossible things possible thus creating an influx of career in this field. A career in AI looks more promising than any other job available these days. There a lot of AI career opportunities in various fields which is also a matter of confusion among many AI enthusiasts.<\/p>\n

AI professional field is full of different career opportunities, which means one can take on different roles and responsibilities depending upon one’s experience and interests. There are certain skill set you should possess in order to land a job in this lucrative field. Aspirants should have a good knowledge and experience in Python, C\/C++ and MATLAB. You should have good problem solving skill, knowledge of applied mathematics and algorithms and industry knowledge.<\/p>\n

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Career Opportunities in Artificial Intelligence<\/strong><\/h2>\n

Let us have a look at some of the career opportunities in AI:<\/p>\n

1. Big Data Engineer<\/strong><\/h3>\n

Big Data Engineers create an ecosystem that enable various business verticals and technologies to communicate effectively. Their primary task is to plan, design, develop and administer big data of an organization. They also have to carry out the function of obtaining outcomes from big data in a robust manner.<\/p>\n

The role is suitable for those who are keen to play with new technical tools and can step above the relational database box. Most companies prefer professionals with a Ph.D. in mathematics, computer science, or related fields. Programming languages like Python, R and Java are essential in building your\u00a0career in AI as a big data engineer. Aspirants should also have experience in data mining, data visualization, and data migration.<\/p>\n

Big data engineers are among the best-paid roles in artificial intelligence, with an\u00a0average salary\u00a0of $151,300.<\/p>\n

2. Machine Learning Engineer<\/strong><\/h3>\n

These jobs are best for anyone with a background that combines data science, applied research, and software engineering. Machine Learning (ML) is a subset of Artificial Intelligence. It runs simulations with the different data and generate accurate results.<\/p>\n

Machine learning engineers build and maintain self-running software that facilitates machine learning initiatives.<\/p>\n

To become a machine learning engineer, one must have sound command in applying predictive models dealing with magnificent data. Artificial Intelligence jobs seek applicants should have strong mathematical skills, experience in machine learning, deep learning, neural networks, and cloud applications, and programming skills in Java, Python, and Scala. They should be well-versed in software development IDE tools like Eclipse and IntelliJ.<\/p>\n

The\u00a0average salary\u00a0of a machine learning engineer in the US is $\u200b\u200b1,31,000. Organizations like Apple, Facebook, Twitter, etc., pay significantly higher\u2014in the range of $170,000 to $200,000.<\/p>\n

3. Data Scientist<\/strong><\/h3>\n

Data scientists collect data, analyze it, and obtain insights for a wide range of purposes. The insights gained are influential in tackling various issues concerned with the business. They make various predictions based on different data patterns and past and present information. This could be something basic like identifying anomalies in time-series data or something complex like predicting future events and making recommendations.<\/p>\n

Data scientists are able to analyze the root cause and the drawbacks that are caused in the business and helps in restraining them from happening in the future. This makes it one of the most reliable\u00a0Artificial Intelligence careers.<\/p>\n

Those aspiring to become a data scientist should hold a master\u2019s degree in Mathematics or Computer Science. Applicants should have experience with cloud tools like Amazon S3 and the Hadoop platform. Working knowledge of Hive, Hadoop, MapReduce, Pig, Spark, etc will be an advantage. To interact with the managers, data scientists should possess sound communication skills.<\/p>\n

The\u00a0average salary\u00a0of a data scientist is $105,000. With experience, this can go up to $200,000 for a\u00a0director of data science\u00a0position.<\/p>\n

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