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STANLEY Security is expanding its Computer Vision & Machine learning team and is looking for an amazing candiate  with a background in machine learning and development.

STANLEY Security is the leading and largest physical security company in the world when one excludes traditional guarding services. The company serves both high-security customers such as the police, defence and government, as well as other big customers in commerce, banking and institutions in addition to smaller companies. Our ambition is to always be on the frontier within security technologies. "For those who make the world safer" is our motto which guides us in continuously improving the world we live in.

 

STANLEY Security is part of STANLEY Black & Decker (SBD), which is a larger enterprise covering many different products & sectors, including power tools, healthcare and even space technologies. SBD has many successful examples of solving customer needs through developing cutting edge technology and bringing it to the market.

 Although SBD is a global company, with many different development teams worldwide, you will become a core member of a smaller and agile research and development team focusing on developing, applying and integrating machine learning models. The solutions we bring to the market will significantly increase the security and safety of countless of premises and have the potential of literally saving lives. In the team, you will have a big impact on the development of the solutions we deploy at a global level within the company, and to our customers.

 

We are looking for a candidate with the following skills:

• Experience with Python, Tensorflow, Pytorch, MXNet or any other ML library
• Using other Python libraries to further process the output / input of the ML service such as OpenCV
• Experience working with cloud services
• Habit of working with Linux based operating systems
• Fluent in Swedish and English is necessary 

Skills within the following areas will enable you to take a more senior role within the team with associated benefits

• Experience with developing web services
• Experience with containerization software such as Docker
• Experience with container orchestration software such as Kubernetes
• Experience of system integration
• Knowledge regarding cyber security
• Experience working with a reverse-proxies such as NginX
• Working with CI/CD

 

As this team is small, it is of high importance that you are self-sufficient and have a genuine interest in various technical fields and enjoys continuously growing your skillset. Having a collaborative mindset and working with the core team as well as colleagues in the rest of the company is essential to your role. 

For more question please contact, recruiting specialist Izabelle Bengtsson 010-485 70 35, [email protected]

To enable employment with us, swedish citizenship, approved by Länsstyrelsen and background checks are required. 

 

Detta är en jobbannons med titeln "Machine Learning Engineer till Globalt Säkerhetsföretag" hos företaget STANLEY Security Sverige AB och publicerades på webbjobb.io den 11 februari 2021 klockan 15:22.

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