AI/ML Jobs

Yes, AI/ML is a good career path. Machine Learning Engineer roles have been identified as top jobs in the United States in terms of salary, growth of postings, and general demand.

There are many career paths artificial intelligence and machine learning professionals can choose to take within the industry.

• Here are some examples of Artificial Intelligence jobs in the United States today:
• Machine Learning Engineer
• Data Scientist

• Business Intelligence Developer

• Research Scientist

• Big Data Engineer/Architect

Artificial Intelligence, Machine Learning, and occasionally, Deep Learning are closely related concepts sometimes used interchangeably when referring to the building blocks of automation.

• Artificial Intelligence: Artificial intelligence is a very broad term covering many facets of science, engineering, computing, and more. In a more specific sense, it’s a field of science dedicated to trying to make computers “think” in ways that humans might properly call cognition, and it only gets more complex from there on out.
• Machine Learning: Machine learning (ML) is a type of artificial intelligence programming that is focused on building applications that can use data to learn and become more accurate over time, without additional programming. To put it another way, machine learning is the science of getting computers to process data, make assumptions and act on them, without explicitly being told what to do.
• Deep Learning: Deep Learning is a subset of machine learning that can be considered an advancement in the field. In a sense: Deep learning is always considered to be a part of machine learning, but not every machine learning project or concern will involve deep learning.
• Deep learning is about using multiple layers of analysis to extract higher levels of understanding from data and uses what is known as an artificial neural network (ANN) to help computers process information the way a human brain would.

AI and ML engineer jobs involve many highly technological skills. Here are a few of the most common duties for AI and ML jobs:

• Devise methods for machine learning
• Refine existing training methodology using data science and analytics
• Improve existing ML libraries and tools
• Train ML systems and models

To become an AI/ML developer, the qualifications are similar to those required by artificial intelligence engineer jobs. Some of the most commonly listed requirements are:

• A bachelor’s degree (typically in a STEM discipline)
• Optionally, a master’s degree in a STEM field
• Capability with Python, Lisp, R, C++, Java, or a number of other modern programming languages
• Sound understanding of logic and problem-solving concepts
• Ability to collaborate and work as part of a team

AI and ML data engineers are able to work in a variety of modern industries. Here are the 5 best industries hiring ML scientists:

• Transportation
• Finance
• Retail/Ecommerce
• Healthcare
• Real estate