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
- Sektor
- Privat
- Sted
- Lilleakervegen 2B, 0283 Oslo
- Hjemmekontor
- Delvis hjemmekontor
- Bransje
- Transport og logistikk,
- IT
- Stillingsfunksjon
- IT utvikling / Utvikler (generell)
- Arbeidsspråk
- Engelsk
Spørsmål om stillingen
- Kontaktperson
- Sivaharan Rajkumar
- Stillingstittel
- Director of Data and Cloud Infrastructure
- Telefon
- 90 27 74 33
- Nettverk
Lilleakervegen 2B, 0283 Oslo