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My week as a Machine Learning Engineer

16-07-2019

Hi! Welcome to my week! My name is Keje Sinnige and in this blog post I’ll share my activities of being a Machine Learning (ML) Engineer at Enjins. Here are 5 days of customers, coding and fun at the Enjins office. Let’s start with the Monday!

Welcome Keje!

28-02-2019

We are happy to welcome a new Machine Learning engineer to our team: Keje Sinnige. Keje graduated from the JADS and started at Enjins this week.

Our new Lead ML Engineer: Tim Kleinloog

03-01-2019

We are proud and happy to start 2019 with a new Lead of our ML Engineers: Tim Kleinloog. Tim will be responsible for running ML / Data Engineering projects and for coaching and leading our talented engineers. Welcome Tim!

Enjins Executes ML Audit

22-11-2018

For venture capitalists, assessing the ML maturity of their potential investment deserves special attention. Slingshot Ventures fully acknowledged this, and they used the Enjins ML audit for their investment decision concerning Fintech lender Swishfund.

Welcome Lars!

19-11-2018

Starting today, Lars Suanet will join our team of talented data scientists and engineers. Welcome!

Meet our new engineers!

04-09-2018

In keeping up with our growing demand and maintaining a workforce that is talented and inspiring, Enjins expanded with four new data scientists and engineers. Meet Dirk, Tevhide, Titus & Vicky!

Enjins goes DGTL!

01-08-2018

As of today, Enjins helps DGTL to predict the number of visitors for their festivals. Together we develop the DGTL Ticket and Marketing Data Platform. The ticket sale predictions help DGTL to optimize their festival operations and marketing efforts.

We are live!

02-07-2018

In February we began our startup journey. Since then we worked on exciting and challenging data science and engineering projects for among others Wonderkind, Finqle B.V., Goboony, VODW and Gradient. Now, four months later, we are proud to present our new website and the official launch of Enjins.

We’re looking for a Lead Developer!

29-06-2018

Every day we work to enable the power of ML for scale-ups and challengers. We see clear similarities in their needs. This strengths our believe that there is an increasing need for ML products. Do you think you can play a leading role in development of these products?

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