1. AI Data Analyst:
The major responsibilities of an AI Data Analyst are performing data mining, data cleaning and data interpretation. Data interpretation is carried out from the data obtained by data cleaning. Data Analysts are the people who draw inferences from the collected data with the help of statistical tools and methods. It comes under one of the highest paying jobs and the demand for data analysts is ever rising. To acquire this profession, one must have a comprehensive understanding of regression and great knowledge of MS Excel
2. Data Scientist:
Data scientist is someone who assists in collecting data from various sources for the purpose of analyzing it to gain meaningful inferences. The gained inferences helps the management to take various business related decisions. Data Scientists make predictions depending upon different trends and patterns and present and past information as well. They impact the business positively with their performance.
Those who wants to become a Data Scientist are required to be familiar with the tools like Spark, Hadoop, Hive or Pig. Having strong programming skills like Python or SQL is a must for pursuing this career. Many big organizations are in constant need of getting talented data scientists for the continuous growth of their business. Thus, Artificial Intelligence opens the gate for becoming a Data Scientist.
3. Big Data Engineer:
Another job profile that you can flourish in your career in artificial Intelligence is Big Data Engineer. The role of Big Data Engineer is to build an ecosystem for the systems so that efficient interaction is facilitated between them. Their primary task is to create and monitor the big data of the organization and provide outcomes from the big data. Big Data Engineer is one of the highest paying job profile among other AI job roles. As a big data Engineer, the essential skills includes Python, R and Java. Skills related to Apache Spark and SQL can increase the chances of getting relevant job opportunities for you.
4. Machine Learning Engineer:
Machine Learning Engineer is a person who is responsible for creating and maintaining self-running software that provides machine learning initiatives. Their demand has been continuously rising. They possess extra ordinary data management traits and works with huge data sets. For becoming a machine learning engineer, you must have great command in application of predictive models dealing with magnificent data. Mathematics, computing and programming skills are important to become a successful machine learning engineer.
5. AI Engineer:
Another important job profile after AI IS AI Engineer. They are the problem-solvers. They develop, test and apply different AI models. They are responsible in handling the AI infrastructure effectively. With the help of machine learning algorithms and understanding of neural network, AI Engineers develop useful models of AI and with these AI models, business insights can be drawn for the company to make effective business decisions. For becoming an AI Engineer, it is essential to be proficient in programming language like Python, R OR C++ and must be strong in statistics, NLP, applied maths and analytics.
6. Robotics Scientist: With the emergence of robotics in the field of AI, a reduction in jobs is surely going to take place. However, Jobs are also going to rise for Robotics Scientists as they are in great demand for programming of the machines in major industries. The robots are going to help the companies for carrying out various tasks efficiently. For becoming a Robotics Scientist, you should have a master’s degree in engineering or computer science.