Career in AI – Artificial Intelligence Jobs profile

“The coming era of Artificial Intelligence will not be the era of war, but be the era of deep compassion, non-violence, and love.”

-Amit Ray, Pioneer of Compassionate AI Movement

One of the major counter-argument to the development of AI is that with rapid developments in the field of AI, there would be a lot of areas where human resources would not be required as machines would easily replace them.

This is because of factors like their productivity, costs and high standardization.

While this is true that there will be job losses in some sectors, but other exciting opportunities shall also open as AI develops.

Candidates curious about pursuing jobs during this field require specific education supported foundations of math, technology, logic, and engineering perspectives.

Let us see the career in AI with different job roles and companies hiring AI professionals.

Career In AI

To learn how you can start your career in AI, let us firstly see AI job profiles.

Artificial Intelligence Job Profiles

Career in AI

1. Robotics Scientist

Robotics Scientists are professionals who are responsible for implementing Natural Language Processing and Deep Learning Techniques to machines in order to increase the level of automation.

Enabling these machines ( or robots) not just perform the given task, but also monitor, inspect and improve upon those processes when required.

A robotics scientist’s main role is to create and maintain the robots that perform the tasks in a corporation that also require human input by varying degrees. These are typically in sectors like manufacturing, security, space and aerospace, and healthcare.

Robotic scientists should have experience in robotic or engineering , with a background in advanced mathematics, physics , and CAD.

The power to make and edit computer programs, also as work with specialists and subject-matter experts to develop prototypes is additionally a plus. Robotics Scientists have also been able to develop some exciting technologies like robots.

These can socially interact with humans, can perform complex surgeries and even high-frequency trading.

2. Big Data Engineer

Big Data and AI are emerging technologies to be used hand in hand in order to process huge amounts of data within a short period of time and draw conclusions out of it.

Big Data Engineer may be a one that creates and manages a company’s Big Data infrastructure and tools, and is someone that knows the way to get results from vast amounts of knowledge quickly. The particular definition of this role varies, and sometimes mixes with the info Scientist role.

In order to become a professional Big Data Engineer, knowledge of software like IBM SPSS Statistics, SAP Predictive Analytics, Oracle’s Data science is a must.

3. Business Intelligence Developer

Business Intelligence developers research and plan solutions for problems within a business and increase profitability by analyzing complex data.

They design, model, test and maintain cloud-based data storage systems then analyze the info for trends within the market and business, thus improving the business’s overall profitability.

One of the foremost advantages of implementing AI is that it helps in making better-informed decisions.

Business Intelligence Developer is responsible for finding business intelligence and data warehousing solutions to meet business needs.

In this profession, a degree in computing and engineering, with experience in data warehouse design, data processing , SQL queries and SQL Server Integration Services are necessary.

As various stakeholders are involved, along with the technical skills, interpersonal skills are also important.

4. Data Scientist

A data scientist’s primary role is to research , visualize, and model large volumes of knowledge to create and implement new machine learning models to support sound business decisions.

Data Scientist is responsible for accumulation, processing and thus taking out inferences from the humongous amount of data collected by the organization.

In order to be a Data Scientist, a deep understanding of software like Spark, Hadoop, and programming languages like Python is a prerequisite.

With companies collecting a huge amount of data with every passing day, the role of a data scientist is bound to become more important in the future.

5. Machine Learning Engineer

An ML Engineer works with running machine learning algorithms with their specific libraries using a programming language. They are responsible for creating an AI-based model to be implemented in any given system.

For a career as a machine learning engineer, a background in applied research and data science is useful, along side an in-depth understanding of programming languages like Java, Python, and Scala.

Previous exposure to an agile development environment are going to be useful, along side a master’s or doctoral degree in mathematics or computing , and dealing knowledge of development tools like Eclipse and IntelliJ.

6. Product Manager

An AI Product Manager is a strategic position responsible for finding problems in processes and products and then solving them.

So he/she needs to be able to integrate the AI models to the products and processes, assess their viability, and tune the models accordingly. This post requires prior work experience within the AI sector as the stakes are usually very high.

7. AI Research Scientist

AI Research Scientists have tasks of designing, undertaking, and analyzing information.

These individuals are experts in multiple AI disciplines, including applied math, machine learning, deep learning, and computational statistics.

AI research scientist explore new ways and make new systems of solving-problems, while data scientists tweak and apply these systems in real-world scenarios.

Thus a team of AI researcher scientists can create an AI system that will potentially be employed by many data scientists in several situations. An AI Research Scientist has deep knowledge of different AI fields like machine learning, mathematics, programming, and even statistics.

A minimum requirement of post-graduation in computer science is must for this role while a Ph.D. is better option.

Companies Hiring AI Professionals

The companies which recruit AI professionals include:

  • OpenAI
  • Accenture
  • IBM
  • Apple
  • Microsoft
  • Google DeepMind
  • Facebook AI Research
  • Intel

Summary

Finally in conclusion, we have seen how to grow career in AI and companies hiring artificial intelligence professionals. AI is in the process of disrupting the industry and changing the way, the world as we know.

The above-listed jobs are going to be the norm in the future. It is up to us to decide whether to take that extra step forward and embrace it or wait for it to come to us until which it might be too late.

TechVidvan Team

The TechVidvan Team delivers practical, beginner-friendly tutorials on programming, Java, Python, C++, DSA, AI, ML, data Science, Android, Flutter, MERN, Web Development, and technology. Our experts are here to help you upskill and excel in today’s tech industry.