Many friends told me about their respective companies, but Margo seemed to have the highest standards, across its recruitment process and missions.
In 2020, corporate investment in data projects is expected to exceed 203 billion dollars worldwide. But at a time when many are claiming to be Data Driven Companies, lots of data projects end in failure. Yet most of these failures are unnecessary and due to well-known causes! Focus on the recurrent pitfalls to avoid.
In this article we will focus on Kubernetes security and containers. More specifically on what kind of solution leading hedge companies are using today to face container security issues and open source tools they rely on. What are the technical best practices to avoid security vulnerabilities on container? What kind of open source tools can be used to detect vulnerabilities?
IT System Departments have incredibly high RUN costs and therefore, not enough budget to create new technologies needed for CHANGE. Margo accompanies its clients in the management of their project from creation to deployment of complex applications.
My project is particularly interesting: working in quantitative finance for one of the leading global investment banks is an amazing opportunity.
Since the emergence of Taylorism and of the specialized worker executing one specific task, working methods never stopped to evolve. Nowadays, in the era of self-management, we make sure that every employee has been given the keys to participate in the decision making process and to perform his mission.
In this article we present a practical case study for building an AI model and deploying it in a mobile application, all in less than an hour.
Margo was able to offer me interesting missions with transparent relationships with the clients. I felt in a bond of trust right away.