How to become an AI ​​Developer?

Bhumin Vadalia
3 min readOct 20, 2021

The AI ​​Data Developer develops products based on Artificial Intelligence to help companies manage their activity or integrate AI programs into their applications.

What is a Data AIDeveloper?

Companies are handling an increasing amount of data. But only the Artificial intelligent use of data can give them a competitive advantage. That is why they now integrate teams dedicated to data processing and analysis.

Among these teams, the AI Developer is responsible for developing Artificial Intelligence solutions used to:

Translate the data into predictions and recommendations applicable to the companyBuild AI-powered predictive apps

In the first case, the Data Developer provides valuable information to executives and managers to steer the company’s activity. In the second case, the solutions it develops are directly integrated into the product, such as personalized recommendations from Amazon.

The missions of the Data Developer, or “Artificial Intelligence Developer.”

The Data Developer missions follow the successive stages of the data life cycle.

First, it analyzes the need it must meet and builds the architecture of the platform. Then, depending on the objectives, it selects the data sources to be processed.

Then, its role is to use Artificial Intelligence to make the data usable. It involves, for example, the design and training of neural networks. Artificial Intelligence will then operate on the data to extract meaning from it.

Finally, the third mission of the Data Developer is to return the information obtained to the customer. For this, They can create dashboards using data visualization tools. They may also be responsible for creating a product based on the data and integrating it into a company application.

The profile of the Data Developer

A “product” oriented profession

Unlike the Data Scientist who is required to conduct experiments on the data without necessarily having a clear idea of ​​what he is looking for beforehand, the Data AI Developer seeks to build a product based on the data. Its role has a more operational dimension. It meets an essential business need: to develop data-based solutions. To do this, They creates prototypes of digital products and develops them incrementally.

A good understanding of business issues

The Data AI Developer is more like a data engineer but with a different purpose. They always has in his sights the business value of the product he designs and the user interface into which it must be integrated.

They must understand product development issues and carefully choose each feature or each analytic and its representation. In addition, They are interested in how data is used to offer the best possible experience to the end-user.

What skills for the profession of AI Developer?

The profession of AI Developer requires solid computer and programming skills. In Artificial Intelligence, a developer must be comfortable with mathematics, statistics, software development, and, of course, Artificial Intelligence.

Indeed, as part of his missions, They are required to:

Develop a databaseExploit the dataUse Artificial Intelligence in the context of application development

They must master the design and optimization of a database, from data acquisition to platform maintenance. They are also a specialist in data processing and must know how to make data speak and report on his recommendations. Finally, his mastery of AI allows him to set up and develop learning models to develop exploitable applications.

One of the booming digital professions: guaranteed jobs

According to the France AI report, the Artificial Intelligence market for business applications is estimated at more than $ 36 billion by 2025. As a result, business demand for AI engineer positions is growing exponentially. In addition, AI is gaining ground in various industries, from marketing to healthcare to the automotive sector.

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Bhumin Vadalia

Bhumin is a tech enthusiast. As an occasional blogger, He loves to share knowledge regarding technological advancements in the domains of web & mobile app.