Magnet.me - Het slimme netwerk waarop hbo‑ en wo‑studenten hun baan of stage vinden.
Het slimme netwerk waarop hbo‑ en wo‑studenten hun baan of stage vinden.
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 don’t want a data scientists’ laptop to be a graveyard for brilliant models.
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 don’t want a data scientists’ laptop to be a graveyard for brilliant models.
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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.
We love to work with entrepreneurs, from scale-ups to SMEs. We believe every use case starts with a business case, roadmap and a technical blueprint to deliver ML solutions. We believe in the combination of data science and engineering. Not just a theoretical model, but an ML engine in production.We believe ML should always be explainable, accountable and transparent. We’re...
We love to work with entrepreneurs, from scale-ups to SMEs. We believe every use case starts with a business case, roadmap and a technical blueprint to deliver ML solutions. We believe in the combination of data science and engineering. Not just a theoretical model, but an ML engine in production.We believe ML should always be explainable, accountable and transparent. We’re one of the proud founders of Deeploy, a platform to keep ML explainable and accountable. We involve content experts in the process of creation and feedback. We distinguish ourselves by going quickly to a working solution including a continuous feedback loop.
We love to work with entrepreneurs, from scale-ups to SMEs. We believe every use case starts with a business case, roadmap and a technical blueprint to deliver ML solutions. We believe in the combination of data science and engineering. Not just a theoretical model, but an ML engine in production.We believe ML should always be explainable, accountable and transparent. We’re one of the proud founders of Deeploy, a platform to keep ML explainable and accountable. We involve content experts in the process of creation and feedback. We distinguish ourselves by going quickly to a working solution including a continuous feedback loop.
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