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Capia As, Tromsø (Norge)

About us
Capia is a data analytics company located in Tromsø. We are working on challenging tasks, and are cooperating closely with very knowledgeable researchers and companies.

We produce interactive applications and reports, which our end users use to further their knowledge and reach informed decisions.

Job description
We are currently strengthening our machine learning capacity. We need someone who can train networks for object / feature detection and tracking in images and point clouds (LiDAR scans). Currently we have mostly used PyTorch, but we are not locked into a specific framework. If you are an expert in TensorFlow or other frameworks, you are more than welcome.

You will be working with a team of researchers and developers who work on collecting, storing, researching and visualizing data in interactive applications, by using the latest in web technology.

Our most used languages are R, Python and JavaScript. Coming from a machine learning background we kind of expect good knowledge in Python. Knowledge in other languages is a bonus. Training will be provided if needed.

Skills, Experience And Qualifications
Machine learning - training and validation
Strong SQL skills. We use MariaDB, PostgreSQL and Clickhouse today, but we value strong experience in any SQL dialect as these are quite transferable.
Git
Good communicator, capable of teaching others

Work place: Tromsø city center
Arbeidstid:Dagtid
Oppstart:Etter avtale
Hjemmeside: https://capia.no
LinkedIn:https://www.linkedin.com/company/capia-as
Facebook:https://www.facebook.com/capiaas
Capia is a data analytics company located in Tromsø. We are working on challenging tasks, and are cooperating closely with very knowledgeable researchers and companies.
We produce interactive applications and reports, which our end users use to further their knowledge and reach informed decisions.

Detta är en jobbannons med titeln "Machine learning engineer" hos företaget Capia AS och publicerades på webbjobb.io den 3 januari 2022 klockan 13:06.

Hur du söker jobbet

Ansökan sker via e-post till [email protected].

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