Careers in Artificial Intelligence after Artificial Intelligence and Machine Learning Degree
In recent times, careers in artificial intelligence (AI) have growing day by day exponentially to meet the demands of digitally transformed industries area. While there are a lot of jobs available in artificial intelligence for fresher’s, theres a significant shortage of good talent with the necessary skills according to course.
According to the many job sites, the demand for AI skills has more than doubled over the past two years, and the number of job postings is up by 119 percent of the total. Although, job-seeker interested to make a career in artificial intelligence seems to have leveled off. This tells you that employers are going to struggle to fill these positions for many years and search for the best brain.
Companies Are Hiring for Artificial Intelligence and Machine Learning Field
There are many companies hiring in the field of Artificial Intelligence and Machine Learning from which some best are as follows:
- IBM
- Accenture
- Facebook
- Intel
- Samsung
- Lenovo
- Adobe
- Molek Technologies
- Amazon
- NVIDIA
- Microsoft
- Uber
- PCO Innovation
- Rakuten Marketing
- Wells Fargo
Specialization courses of Artificial Intelligence and Machine Learning
If you want to make a career in AI you have specialization in some of the following courses:
Computer science (gain coding experience with popular programming languages)
- Engineering
- Physics
- Robotics
- Bayesian networking (including neural nets)
- Cognitive science theory
- Various level of math (algebra, calculus, logic and algorithms, probability, and statistics)
Careers in Artificial Intelligence after Artificial Intelligence and Machine Learning Degree
An Artificial has several career opportunities open for interested candidates. The rapid pace of development in the country they need for skilled or talented engineers has meant that there are several vistas for Artificial Intelligence candidates. Here, we discuss the list of career opportunities in artificial intelligence which is the following
- Machine Learning Engineer
- Data Scientist
- Business intelligence developers
- Research Scientist Research Scientist
- Big Data Engineer/Architect
- Machine Learning Engineer
Machine Learning Engineer is mostly responsible for managing and building platforms for machine learning projects. The main role of a machine learning engineer is at the heart of Artificial Intelligence projects and is suitable for those who belong to a background in applied research and data science. Although, its also important to be an AI programmer and demonstrate a thorough understanding of multiple programming languages related to their course in advance level. Machine learning engineers should also be able to apply leverage natural language and predictive models of AI and processing when working with related enormous datasets. If you want to make a career in this field, youll find that many hiring companies prefer individuals or freshers who possess a masters or doctoral degree in computer science and mathematics. For that field to consider the knowledge of modern programming languages like the following:
- Data Scientist
Data scientists are mainly dealing with collecting, analyzing, and interpreting large, complex datasets by researching both machine learning and predictive analytics. They also play a main role in algorithm development that enables the cleaning and collection of data for analysis. When it comes to making careers in artificial intelligence, data scientists you earn an annual median salary of $120,931. Candidates who want to make a career in data science need to be comfortable with big data platforms and tools like as follows:
- Pig
- Spark
- Hive
- Hadoop
- MapReduce
Data scientists should also be highly experienced in programming languages and statistical computing languages :
Eligibility criteria for a data scientist are highly educated, with a masters degree or a doctoral degree in computer science required. Careers in artificial intelligence also provide the position of business intelligence (BI) developer. The main objective of this role is to analyze complex data sets problems to identify business and latest market trends.
- Business intelligence developers
Business intelligence developers also play a vital role in improving the profitability and efficiency of a business. Its a career thats in high demand now using it, you earn an annual median salary of $92,278. Business intelligence developers are generally responsible for modeling, designing, and maintaining complex data set problems in highly accessible cloud-based platforms.
Those who want to make a career in this field need to possess strong technical and analytical skills as per the rule. Candidates should be able to communicate with non-technical colleagues and able to solve strong problem-solving skills.
- Research Scientist
Research Scientist is One of the leading careers in artificial intelligence. These candidates are experts in multiple AI disciplines, including machine learning, applied mathematics, deep learning, and computational statistics. To make a career in this field, candidates should extensive knowledge and experience in graphical models, reinforcement learning, computer perception, and natural language processing. Research scientists are in high demand and command an annual median salary of $99,809. Like data scientists, research scientists are also expected to have an advanced masters or doctoral degree in computer science.
- Big Data Engineer/Architect
Big data engineers and architects have the best paying jobs in artificial intelligence among all. Besides, they earn an annual median salary of $151,307. As big data engineers and architects play a main role in the development field an ecosystem that also enables business systems to communicate with each other and collate data. Many of the companies prefer professionals who have completed a Ph.D. in computer science, mathematics, or a big data-related field.
To build a career in this field, Candidates also have to demonstrate significant programming experience with Python, C++, Java, and Scala. They also have to depth in knowledge and experience in data mining, data migration, and data visualization.
Conclusion:
After analyzing all about Careers in Artificial Intelligence after Artificial Intelligence and Machine Learning Degree, we reach on the conclusion that always choose those career options which is in your specific area of interest and take your future in a new direction.
