* Experience required in both data engineering and back-end engineering spaces
* Experience welcome in ML engineering and data science spaces
I've worked on this team for a year or so now and it's fair to say that there's been no shortage of things to work on - you'll be immersed in the challenge of computing and distributing personalised recommendations across the business via operational and analytical workloads.
You will also become a part of a company which adopts a lot of the nice danish working practices (family first).
The office culture is an important aspect of the business so 3 days a week is a needs-must.
Why go this route, rather than incorporating GenAI provided by OpenAI, Alphabet, Athropic, etc.?
It seems to me that we are at a transition point, similar to the transition of self-hosting to cloud-hosting, where bespoke recommendation systems will no longer be a competitive edge. Or am I betting wrong?
milesjag|6 months ago
* Lead engineer on the personalisation / recommendation engine
* Python, Node JS / TS, Databricks, Aurora RDS, AWS, API Gateway
* Experience required in both data engineering and back-end engineering spaces
* Experience welcome in ML engineering and data science spaces
I've worked on this team for a year or so now and it's fair to say that there's been no shortage of things to work on - you'll be immersed in the challenge of computing and distributing personalised recommendations across the business via operational and analytical workloads.
You will also become a part of a company which adopts a lot of the nice danish working practices (family first).
The office culture is an important aspect of the business so 3 days a week is a needs-must.
If this sounds like your bag - apply :)
andsoitis|6 months ago
It seems to me that we are at a transition point, similar to the transition of self-hosting to cloud-hosting, where bespoke recommendation systems will no longer be a competitive edge. Or am I betting wrong?