Growing the machine learning experts is one of our priorities. The Machine Learning Engineering Job Market is critically demanding experts, currently many projects are postponed due to lack of expertise. Help the world develop and ensure a sustainable future.
We are looking for motivated people, willing to develop a passion for Machine Learning Engineering. At this stage, coding is an advantage, but if you are new to the world of programming, we will recommend you a free Python course for beginners prior to starting the course academy.
Scroll down to learn more about the structure of the course, the content you will go through, stages during your training period up to joining our team of consultants and engage in real life projects as a full time employee.
We selected best online courses free and paid to enroll you!
These courses are tailored to equip you with a strong foundation of the Machine Learning Algorithms and Mathematics.
You will also attend classes for a deeper understanding of complex concepts where there will be Q&A sessions to answer all your questions.
It is crucial for your learning process and understanding to get a feeling of what the real world solutions to problems are.
At the end of the classes everyone will sit one exam, and the top 3 students will be selected to join the team of consultants at DayAI.
You will receive a bursary of 300 EURO and enter the transition period.
During the transition period, the selected students will shadow the consultants and will be given limited tasks on real projects.
Finally, after the transition period, students are expected to join the team as full-time employee with the status of Jr. Machine Learning Consultant.
We believe our culture and salary will have no competitor. Our goal is to form a team which will have the opportunity to work on fascinating projects, travel the world and make the great ideas shine!
Dan has a vast experience implementing Machine Learning Solutions for object and feature detection in medical imaging, person recognition, sport events, autonomous driving etc.
He is currently doing a PhD in Environment Perception using Machine Learning Algorithms and graduated the Master in AI at the Technical University of Cluj – Napoca.
Theo has experience implementing Machine Learning Solutions for data prediction in the Energy Industry and offered geoscience solutions such as Seismic Interpretation.
He graduated an integrated master’s degree from the University of Aberdeen in Petroleum Engineering, focussing on automation for safety, completion processes and well testing operations.