Utløpt

Want to become our new Machine Learning Engineer?

Arbeidsgiver
AutoStore AS
Stillingstittel
Machine Learning Engineer
Frist
Snarest
Ansettelsesform
Fast

Machine Learning Engineer

AutoStore is a leading software and robotics company providing automation technology to warehouse & distribution facilities. Our solution is the most space-saving system on the market and can provide a fourfold increase in storage capacity. With over 38,000 robots in over 900 systems across 40 countries, AutoStore is the most deployed provider of grid-based, high-density goods-to-person systems globally. For more information, see autostoresystem.com. Our headquarters is in Nedre Vats Norway with offices in Haugesund (Norway), Oslo (Norway), the US, UK, Germany, France, Spain, Italy, Austria, South Korea, Japan and Singapore.

Bots, Bins and Brilliant People - bring on the future of warehousing!


AutoStore is seeking a Machine Learning Engineer


The Machine Learning Engineer will be a value adding stream of the business. Unlocking the potential of the data for internal and external use cases in a secure and scalable manner. The ideal candidate will be familiar with MLOps and how to build such systems, and comfortable in fostering citizen data scientists within the organization.


The role will be within the Data and Cloud within AutoStore IT department. This gives you the opportunity to work closely with a wide variety of disciplines such as Data Engineers, Cloud Architects, Data Analysts and Platform Architects. Also, as AutoStore IT works across departments you will have a chance to be exposed to the entire business such Marketing, Finance, Operations and R&D. Giving you a holistic picture of how Norway's first Unicorn really works.


KEY TASKS AND RESPONSIBILITIES:

  • Design and Develop the MLOps Platform

  • Deploy and operate ML Models reliably and at scale

  • Identify and Implement ML/Optimization projects within the organisation

  • Educate other teams within the organisation on how utilize Machine Learning



SUGGESTED KEY SKILLS:

  • Python (sklearn, lightgbm, pandas, fastapi)

  • Software Development (Git, Testing, CICD)

  • Docker

  • Azure DevOps Pipelines

  • Azure (Azure ML Studio, Azure Synapse)

  • Google ORTools



NICE TO HAVE SKILLS:

  • Python (synapseml, pytorch)

  • Kubernetes

  • Graph Neural Networks

  • Online/Streaming Machine Learning

  • Process Mining



PERSONAL ATTRIBUTES:

  • Strong in communication, being able to explain difficult concepts to non-technical audience

  • Comfortable and effective working independently



WE OFFER:

  • A creative, safe, and solid workplace in a business experiencing tremendous growth - Norway's first unicorn company listed on the Oslo Stock Exchange

  • A company culture where we recognize and applaud everyone's contributions in making decisions

  • Competitive compensation and benefits such as parking spaces with charging stations, workout facilities, subsidized company cabin scheme, subsidized canteen

  • In AutoStore we value flexibility and we offer a worldwide 60/40 remote working policy for all roles that can be performed remotely



If you have any questions about the position, please contact our Director of Data and Cloud Infrastructure, Sivaharan Rajkumar at sivaharan.rajkumar@autostoresystem.com

Show your interest in the position by registering your CV and application as soon as possible. Certificates and diplomas are attached to the application. All inquiries are treated confidentially.

Applications are processed on an ongoing basis.

Om arbeidsgiveren

AutoStore is a leading software and robotics company providing automation technology to warehouse & distribution facilities. Our solution is the most space-saving system on the market and can provide a fourfold increase in storage capacity. With over 38,000 robots in over 900 systems across 40 countries, AutoStore is the most deployed provider of grid-based, high-density goods-to-person systems globally. For more information, see autostoresystem.com. Our headquarters is in Nedre Vats Norway with offices in Haugesund (Norway), Oslo (Norway), the US, UK, Germany, France, Spain, Italy, Austria, South Korea, Japan and Singapore.

Nettverk
LinkedIn
Sektor
Privat
Sted
Lilleakervegen 2B, 0283 Oslo
Hjemmekontor
Delvis hjemmekontor
Bransje
Transport og logistikk,
IT
Stillingsfunksjon
IT utvikling / Utvikler (generell)
Arbeidsspråk
Engelsk
Video

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Kontaktperson
Sivaharan Rajkumar
Stillingstittel
Director of Data and Cloud Infrastructure
Telefon
90 27 74 33
Nettverk
LinkedIn
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Lilleakervegen 2B, 0283 Oslo

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FINN-kode 263863353
Sist endret 30. jun. 2022 12:05

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