Artificial
intelligence (AI) professionals are engineers who design, develop and implement
smart systems that help devices to take decisions and work accurately with or without
human intervention. AI programs or tools
carry out enormous computing power useful in working unmanned.
Organizations
utilize the services of AI professionals for streamlining, speeding up, and
simplifying their operations, and some others need them to serve clients.
Thanks to the increasing demand for AI professionals, the jobs are considerably
lucrative, also given that this field is one of the toughest ICT areas to
master. The essential skill recruiters look for include the following:
- knowledge
in statistics, especially in probabilities
- Advanced
knowledge of machine learning principles, algorithms, and techniques, such as
decision trees, neural networks, Naïve Bayes, etc…
- Data
science tools, such as MatLab and Python
- Data
preparation techniques and tools to convert raw data into any other format.
- Natural
language processing libraries
- Programming
language including python, R, etc…
- Reporting techniques and data visualization tools,
such as GGplot and D3.js
The AI job
market is not one that can be easily predicted. It is a continuously developed
market that depends principally on scientific research and real-life needs and
demands.
Professionals in
this field work with multidisciplinary teams containing designers, software engineers,
technical and functional consultant, and testing teams that evaluate the potential
of the delivered AI systems.
Job Roles for AI Professionals
Recruiters are
looking for candidates with strong intellectual curiosity, aware of the current
trends in the sector, both in the field of artificial intelligence and
business. Among the most wanted roles, we find:
- Data Scientist
Datascientists analyze, visualize, and represent a huge quantity of
data relevant to an organization’s services or products to enhance its
productivity.
- Machine Learning (ML) Engineer
A ML engineer is
a computer developer who demonstrated experience solving complex business
problems using machine learning techniques such as classification, deep
learning, etc... using advanced technologies such as tensorflow, pytorch or
keras.
- Business Intelligence (BI) Developer
This principal
task for business intelligence developer involves identifying market and
business trends by analyzing, designing, modeling, and maintaining complex data
sets. An ideal candidate should have well knowledge in data mining, SQL, data
warehouse, BI technologies, Reporting Services, and Integration services.
- Research
Scientist
Research
scientists generally have a Phd or post-doc in a relevant scientific field.
They are also usually competent in AI disciplines like mathematics, machine
learning, computational statistics, and deep learning.
- Big Data Architect
Big data architects are engineers who design and
develop systems based on collected data from large scale in order to help
decision-makers to make perfect business decisions. Required
technical Skills for Data Architects are data extraction
and modeling tool plus knowledge on Hadoop
and NoSQL databases
AI job salary
Artificial
intelligence is an exciting field appropriate for problem solvers and
analytical minds. and as mentioned earlier, AI jobs are considerably very
lucrative; as their salaries range from $100,000 to $150,000, according to Data
Mation. However, the record salaries were set in April by the Japanese firm
Start Today, which posted jobs paying almost $1 million for ‘genius’ AI
professionals.
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