Find your place in the data revolution and become a Machine Learning Engineer!

Upon completion of our Machine Learning Engineer training, you will receive a certificate from the prestigious University Paris Panthéon-Sorbonne.

In addition, as the B2B market leader in Data Science training, DataScientest enjoys a high level of recognition among companies that hire professionals in the industry. This is just one example of why our certificates are recognized and trusted in the industry!

If you are currently living in Germany, there are multiple options for you to finance your training fees with us, keeping your personal and professional situation in mind.

You are currently employed: The advisor team at DataScientest is responsible for finding the best financing for your individual situation. Depending on your professional and personal circumstances, different financing options may apply. In general, it is always possible to finance the course by yourself or to have your current employer finance the training (partially or fully). Both options involve either a one-time payment, or an installment plan that is extendable for up to 12 months. If you are currently living in Germany and fit the requirements, you may be able to benefit from the official recognition of DataScientest by the German Federal Employment Agency. Depending on your personal situation, you can therefore inquire at your local employment office (“Agentur für Arbeit”) about your educational funding options. Please check with our consulting team whether your desired course is certified and suitable for your individual situation. Please contact one of our consultants to find out more about your opportunities!

Estelle and Morgane, our career managers, are fully dedicated to your professional development throughout your training. It is possible to make an individual appointment with one of them to support you and answer any questions you may have about your career plans.

In addition, career workshops are organized every month: CV and LinkedIn workshops, job search assistance, mock interviews, and more.

In addition, a number of initiatives are in place to support you in your job search: recruitment fairs organized by DataScientest with partner companies, webinars with data experts, communication initiatives to boost your visibility (CV competition, DataDays, project articles published on the blog and external reference media).

The Machine Learning Engineer shares common missions with the Data Scientist. They can develop Machine Learning algorithms in order to solve classification and recommendation problems, but the Machine Learning Engineer can deploy these models, for example, on the Cloud.

A Machine Learning Engineer can evolve in many sectors. They will notably work on anomaly detection, fraud detection, search ranking, text/sentiment classification, spam detection and many other aspects of Machine Learning.

A Machine Learning Engineer is also responsible for guiding the use of technologies, data and Machine Learning.

The missions are thus diverse and varied. In particular, they apply software development practices and standards in order to develop robust and long-lasting solutions. To do this, they must maintain an active role in each part of the development life cycle of Machine Learning-based solutions. It is also necessary for them to guide non-technical teams in understanding best practices to guide the development of these solutions.

Here are some missions of the Machine Learning Engineer:

• Put Machine and Deep Learning algorithms into production;
• Master the techniques of manipulation and pre-processing of data;
• Develop APIs;
• Automate the training of predictive models and deployment on the Cloud (containerization).

As for the Data Scientist, Data Analyst or Data Engineer, the salary to which a Machine Learning Engineer can claim varies according to their experience, the company that hires them and the city of exercise of their professional activity.

In Germany, the salary of a junior machine learning engineer can be estimated at around €50,000 per year. The longer you work in the industry, the more practical experience you have, and the more professional certificates you have earned, the higher the annual salary will be. On average, an expert in the industry earns €65,000 and can earn up to €90,000 as a senior machine learning engineer. These estimates refer to the German market and may vary in the European context.