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.
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.
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Career Opportunities in Artificial Intelligence
Let us have a look at some of the career opportunities in AI:
1. Big Data Engineer
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.
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 career in AI as a big data engineer. Aspirants should also have experience in data mining, data visualization, and data migration.
Big data engineers are among the best-paid roles in artificial intelligence, with an average salary of $151,300.
2. Machine Learning Engineer
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.
Machine learning engineers build and maintain self-running software that facilitates machine learning initiatives.
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.
The average salary of a machine learning engineer in the US is $1,31,000. Organizations like Apple, Facebook, Twitter, etc., pay significantly higher—in the range of $170,000 to $200,000.
3. Data Scientist
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.
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 Artificial Intelligence careers.
Those aspiring to become a data scientist should hold a master’s 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.
The average salary of a data scientist is $105,000. With experience, this can go up to $200,000 for a director of data science position.
4. Business Intelligence Developer
Business intelligence (BI) developers process complex internal and external data to identify trends. They recognize different business trends by assessing complicated data sets. They are responsible for designing, modeling, and maintaining complex data in highly accessible cloud-based data platforms for business users to use the dashboards. BI developers help in increasing the profits of a company by preparing, developing and nourishing business intelligence solutions.
The demand for Business Intelligence developers have intensified recently due to their ability to deal with complicated data of cloud-based platforms.
The qualifications expected of a BI developer are:
- Bachelor’s degree in engineering, computer science, or a related field.
- High problem solving strengths and analytical capabilities.
- Sound knowledge of SQL servers and queries.
- Familiarity with BI technologies like Tableau, Power BI, etc.
Business intelligence developers earn an average salary of $86,500, going up to $130,000 with experience.
5. Research Scientist
The role of research scientist is to perform extensive research dealing with applications of machine learning and machine intelligence. It is one of the most academically driven AI careers. A research scientist is one who has gained expertise in the field of applied mathematics, statistics, deep learning, and machine learning.
Applicants should have a PhD degree or advanced master’s degree in mathematics or computer science. Knowledge of benchmarking, parallel computing, distributed computing, machine learning, and artificial intelligence are a plus.
Research scientists are in high demand and command an average salary of $99,800.
6. Robotics Engineer
We are all aware that robots will take up majority of jobs in the future. This is due to the emergence of robotics in the field of AI. Robotics scientists is one are in great demand by major industries for programming their machines. These engineers build and maintain AI-powered robots which will help in carrying out several tasks efficiently.
Applicants should have a master’s degree in robotics, computer science or engineering. advanced degrees in engineering, computer science, or similar. They should be able to understand CAD/ CAM, 2D/ 3D vision systems, the Internet of Things (IoT), etc.
The average salary of a robotics engineer is $87,000, which can go up with experience and specialization.
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7. Data Analyst
The job of data analyst is to perform data mining, data cleaning, and data interpretation. Data analysts prepare data for machine learning models and build meaningful reports based on the results. While cleaning data, analysts collect requisite data and any sort of useless data is discarded so that it does not hamper the data interpretation process.
The skills required by data analysts are:
- Bachelor’s degree in mathematics or computer science
- SQL and other database languages to extract/process data
- Python for cleansing and analysis
- Comprehensive understanding of regression
- Ability to utilize MS Excel
In comparison to other AI roles, the salary is quite low for an AI data analyst. A data analyst earns an average salary of $65,000.
8. AI Engineer
AI software engineers build software products for AI applications. They also develop, test and apply different models of Artificial Intelligence. They make use of machine learning algorithms and understanding of the neural network to develop useful AI models.
An AI software engineer should be skilled in software engineering and artificial intelligence. Aspirants should have a bachelor’s degree in computer science, engineering, physics, mathematics, or statistics. Any kind of certifications on ML or data science adds to the advantage. Proficiency in programming languages, such as Python, R or C++, is essential.
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