How to work in artificial intelligence?

Artificial intelligence (AI) is at the heart of current technological transformations. It’s defining new rules and new ways of working in every sector, from healthcare to finance to cybersecurity. It’s offering new opportunities to thousands of professionals and wondering how to join this innovative and demanding sector? Here are the steps to a career in AI.

Follow appropriate training

To work in AI, it is essential to undergo structured training to understand the basics and acquire essential technical skills. Depending on your background, several paths are possible:

• degree in computer science, mathematics, or data science,
• specialized master’s degree in artificial intelligence,
• An engineering degree with specialization in AI or big data.

If your goal is to become a big data engineer, some engineering schools and universities offer high-level programs, often enriched with real-life projects and industrial partnerships. As part of a career change, boot camps or intensive certification courses are an effective alternative for training in just a few months.

Online learning platforms, developed by leading universities or companies, also represent an excellent resource for deepening your knowledge of machine learning and deep learning.

Do an internship or work-study program

An internship or work-study program is essential after you train to help you face the realities of the field. You’ll have to deal with complex data, tight deadlines, poorly formulated problems, etc. Beyond earning a diploma or filling out your CV, it’s an opportunity to learn how to:

• work in a team;
• respond to concrete needs;
• adapt your models to the constraints.

Seeking practical experience helps enhance your profile, strengthen your skills, and build an interesting technical portfolio. Above all, it can add weight to your resume when it comes to pursuing a career in AI.

Identify and apply for AI jobs 

After completing training and gaining experience, it’s time to enter the job market. The sector encompasses many professions, with varying levels of technical expertise:

• Data scientist: an AI professional who analyzes and models data to create predictive models.
• Machine learning engineer: specializes in the design, training, and optimization of machine learning algorithms.
• Computer Vision Engineer: He designs and develops systems capable of automatically analyzing, interpreting and understanding images or videos.
• AI researcher: works on algorithmic innovation, often in a laboratory or company.

You can also pursue other positions such as data engineer, AI developer, or AI product manager. It’s important to note that each position requires specific skills, but above all, rigor, curiosity, and adaptability to technological advances.

However, you must choose your employer carefully, choosing between specialized startups, public or private institutes, and research and development laboratories. Some large companies in the health, finance, defense, and energy sectors also recruit these profiles.