Machine learning engineer
Posted on Nov 19, 2019 by Claremont Consulting Ltd
Our client is on an exciting journey towards becoming the leading retailer in advanced analytics. 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 value-chain. The AI team is growing and they are currently looking for a mid and senior-level ML engineer.
As a Machine Learning Engineer, 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 the business.
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.
They work within a collaborative network, drawing on and learning from the sharpest experts in each focus area. Their tech stack is flexible and they choose the tools that will be best at getting the job done.
What You Will Do
-Influence, build and maintain the large-scale data infrastructure required for the AI projects.
-Collaborate with Data Scientists and help them test and scale new algorithms through pilots and later industrialize your solutions at scale.
-write scalable, maintainable, well-designed and future-proof code
-Architect, develop and maintain the framework for analytical pipeline
-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 (eg computer science and programming), and a strong will to continuously develop your engineering skill set
-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
This is a solid opportunity to work alongside industry experts and being a vital engineer within the project. Feel free to email me on (see below) for more information or