Machine Learning Engineer @ H&MxAI
H & M Hennes & Mauritz Gbc AB / Elektronikjobb / Stockholm
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Job description
H&M is on an exciting journey towards becoming the leading fashion retailer in advanced analytics. The effort is one of the key focus areas of the H&M group. The AI team combines one of the industry's largest data sets with state of the art advanced analytics and artificial intelligence to enable data driven decision-making across the full fashion value-chain. H&MxAI is a dynamic and quickly growing analytics team within H&M. We focus on unlocking significant business value and are expanding to accelerate impact even further.
The role
As a Machine Learning Engineer at H&MxAI, you will work on a variety of problems such as personalization, optimization and prediction. Your mission is to test algorithms in collaboration with data scientists, and scale them up to massive data sets, so that the algorithms and models can be used to improve critical components of H&M operations.
We offer you an exceptional learning opportunity, in which your solutions will be implemented to impact business results. Above all, your work will be part of shaping the future fashion industry. The position as a Machine Learning Engineer is a fun challenge, in which you will work in a fast-paced environment with some of the best people in advanced analytics and AI.
At H&M, we believe in people and work as one team. The pace is high and we always challenge each other to think creatively. To succeed in this position we believe that you have a pragmatic workstyle and drive towards solution with focus on delivering results.
We work within a collaborative network, drawing on and learning from the sharpest experts in each focus area. Our tech stack is flexible and we choose the tools that will be best at getting the job done.
What you will do
• Collaborate with Data Scientists and help them test and scale new algorithms through pilots and later industrialize your solutions at scale to the comprehensive fashion network of H&M
• Influence, build and maintain the large-scale data infrastructure required for the AI projects, and maintain the connection to UI and front-end developers
• You can leverage an understanding of software architecture and software design patterns to write scalable, maintainable, well-designed and future-proof code
• Architect, develop and maintain the framework for analytical pipeline
• Help drive optimization, testing and tooling to improve data quality
• Work in cross-functional agile teams of highly skilled software/Machine Learning Engineers, data scientists, designers, product managers and others to build the AI ecosystem within H&M
Who you are
• You have a degree within software engineering or similar field (e.g. computer science and programming), and a strong will to continuously develop your engineering skillset
• You have been involved in feature engineering and in prototyping machine learning applications that have been deployed to production
• You have experience in working with high volume heterogeneous data, and are knowledgeable about data storage and modelling techniques
• You have experience from building large-scale data infrastructures, including, but not limited to, containerization and cluster management / consolidation
• You are experienced in Linux and / or Python. Additional experience in R and Spark would be meriting
• You have experience from agile environments, team collaboration, data-driven development, reliable and responsible experimentation
Please apply with CV and personal letter. Positions will be filled on an ongoing basis.
For questions and further information about this position, please contact Lovisa Ermell, at
Lovisa.Ermell@hm.com.
We look forward to your application!
The H&MxAI team
Publiceringsdatum2018-09-11Så ansöker duSista dag att ansöka är 2018-09-21
KontaktLovisa.Ermell@hm.comFöretagH & M Hennes & Mauritz Gbc AB
AdressH & M Hennes & Mauritz Gbc AB
11157 STOCKHOLM
KontorsadressMäster Samuelsgatan 46 A
Jobbnummer 4340104
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