5 AI Job Roles that Can be a Gamechanger In The Job Market

Artificial Intelligence has arrived and its dynamic innovations are colossal. From ordering coffee and greeting us at restaurants to creating games and offering a customized shopping experience, AI is cutting-edge and has become a mainstay of our lives. Today, AI has evolved to become the driving force behind most industries like marketing communications, finance, healthcare, etc, and organizations and transforming the way we are interacting with the world. The world of AI is intriguing and this is precisely why the number of AI jobs has increased exponentially in the last couple of years. AI and Machine Learning job market look healthy and are bursting with incredible AI job opportunities which are raking in revenue worldwide like never before.

Did you know that the United States of Labor Statistics has predicted a massive jump of 13%, especially in the computer-related industry? Also, the Ai-software market touched roughly $62.3 billion in 2020 and is projected to reach a whopping $997.28 billion by 2028, according to Grand View Research.

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To sum it up, AI is changing the recruitment trends and is ushering in a lot of changes to the world of work and with this post, we are focusing on AI job roles that are creating ripples in the tech

AI Research Scientist

Let’s go back to the basics. What does an AI Research scientist do?

An AI research scientist conducts various research in AI and ML to come up with new, more powerful algorithms to combat different problems. Their place of work will mostly be universities, R&D departments, research labs, and institutes, and will be leading the way in discovering Ai technologies in the initial stages. Their research can usually take up several years and require cash to support as well. Their primary job responsibility will be to critically and creatively push the envelope to produce new knowledge. If you’re inclined towards this AI job role, be sure to enhance your computer science, mathematics, and statistics knowledge and expertise.

AI Data scientist

An Ai Data scientist’s role goes beyond the theoretics of researching and marches more into applying Ai technology and theory in a more practical environment. With their expertise and skills in AI and Ml, data scientist analyzes and deciphers complex data sets with a focus to unravel important insights and build various predictive models around the same. To break it up, a data scientist finds a practical solution to research done by an AI research scientist. They work closely on projects that are more into natural language processing (like chatbots), speech recognition (like Siri and Alexa), and computer vision (like Tesla’s self-driving car). A data scientist is required to be well versed with machine learning algorithms and techniques and should be comfortable working with big data sets (this would be beyond excel sets).

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Machine learning engineer

The profile of a machine engineer identifies AI products and services that can be helpful to consumers. Besides, a machine learning engineer not just works closely with Ai products but also designs, develops, and deploys systems that can extract information from data and learn from them while enhancing their performance. They coordinate with data scientists to bring the machine-learning models into the production phase. Data scientists provide the algorithms and engineers apply those to the products. Besides possessing an understanding of deployment platforms, engineers also need to be well aware of the best practices of software engineering to understand the existing software system. A machine learning engineer’s role is vaster than a data scientist’s role as the former is responsible to ensure the final product is ready and performs as planned.

AI product manager

You need not know the technical intricacies that a data scientist or a machine learning engineer is expected to know. An AI product manager is more of a marketing and sales person who should be at the forefront of leading not just the development but also the launch of the AI-based product and services. Even if a product manager does not have a deep understanding of the technical aspects, they must still have a fair knowledge of AI and ML concepts and the relevant industry where they will be used. Ai product managers are mostly part of startups, technical organizations, and consulting firms. Product managers must possess a mix of marketing understanding; the audience needs while being aware of the business objectives and stakeholders’ expectations. They are responsible for a successful product launch.

AI Consultant

The main job of an AI consultant is to consult with non-AI organizations and help them envision how AI can be implemented into their business and transform their needs. AI consultants are expected to have a holistic understanding of the field and scope of AI and ML, including knowledge of the existing technologies as well as platforms. Expertise or a strong understanding of a specific field, industry, or domain like healthcare or agriculture is vital to enable businesses to address their challenges with the help of AI-driven techniques.

In a nutshell

If you are a tech aficionado and believe that Ai is not here to replace humans but empower them to eradicate challenges and problems in their everyday life as well as their businesses, these roles will help to quench your AI curiosity while still helping industries at large.

To share your insights with us, please write to sghosh@martechseries.com

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