Magnet.me  -  Het slimme netwerk waarop hboâ en woâstudenten hun baan of stage vinden.
Het slimme netwerk waarop hboâ en woâstudenten hun baan of stage vinden.
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Hey there! đ
Are you an ambitious Senior Machine Learning engineer? Do you want to use your data science and engineering skills to help fast-growing tech scale-ups by means of ML? Furthermore, are you ready for the adventure of expanding Enjins together with our ambitious team? Then keep reading!
Why? đ¤
At Enjins we want to make Machine Learning solutions that are here to stay. Our mission is to become the go-to ML engineering company in the world of tech scale-ups. for both talent and customers.
How? đ
We are driven by impact, and so is our vision on Machine Learning. We donât want a data scientistsâ laptop to be a graveyard for brilliant models. Thatâs why we created an approach that allows us to actually implement Machine Learning that realises business value. This approach demands our ML engineers to stand out in engineering, data science and consulting skills.
What? [You'll be doing] đ
As a Machine Learning Engineer, you'll work within our growing Machine Learning team, comprising of 15 other equally amazing Machine Learning Engineers.
In this role, there is plenty of room for your ideas. Our team is growing fast and we'll support your growth ambitions as much as possible. We're flexible, and as long as you're proactive and take responsibility for your own work, we'll be a great match!
Some of the responsibilities [but not limited to;]
Within 1 month you'll:
Within 3 months you'll:
Within 6 months you'll:
Minimum Qualifications:đśââď¸
Preferred Qualifications: đââď¸
What to expect from us: âĄď¸
We look for people that want to enjoy the ride of a start-up and benefit from the freedom in the role:
We build Machine Learning engines for fast growing tech scale-ups and innovative businesses. While modelling is rapidly becoming a commodity, successful implementation of ML systems is not. We believe in a combination of data science, engineering and business to deliver successful ML systems.
We are driven by impact, and so is our vision on Machine Learning. We donât want a data scientistsâ laptop to be a graveyard for brilliant models.
I enjoy working at Enjins because of the young and enthusiastic group of colleagues that motivate and help each other out. Enjins also has a strong focus on implementing machine learning systems rather than only delivering a good performing model on a clean dataset making you stand out as a ML eng.
For me Enjins has been the perfect opportunity to apply marketing skills while contributing to future technology. It is also a great opportunity to learn about the rapidly-growing field of Machine Learning while applying a Business and Marketing perspective alongside a very young and ambitious team.
Resources:
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