Machine Learning Engineer to Allocation Precision Business Tech

Job Description
Are you ready to shape the future of fashion and design? Do you want to design, develop and maintain the large-scale data infrastructure? If the answer is yes, then this is the opportunity for you! We are now looking for a Machine Learning Engineer to bring in new competence to our new organisation Business Tech.
About the role
We are on a journey together which means there is no clear path. You will play an important role in setting the foundation and creating our future organization!
Furthermore, you will:
Pairing with Data Scientists, develop machine learning software product including but not limited to explore large data set, try out new algorithms, feature engineering, test and evaluate model output, deploy the solution for production usage and also scale out to the comprehensive fashion network of H&M
Design, develop and maintain the large-scale data infrastructure required for the machine learning projects
Leverage on understanding of software architecture and software design patterns to write scalable, maintainable, well-designed and future-proof code
Develop tool and framework to address common needs in machine learning project like model traceability, feature reuse, A/B test, etc.
Work in cross-functional agile team of highly skilled engineers, data scientists, business stakeholders to build the AI ecosystem within H&M Group

Requirements – We are looking for you who
Our journey will lead to something new and exciting - we will test, fail and learn. You are an important player in this transformation; therefore, we believe you are flexible, stress-resistant and able to work in an environment that is not yet formalized.
has a degree within software engineering or similar field (e.g. computer science and programming) and a strong will to continuously develop your engineering skillset
is a hands-on person, loves coding as much as breathing and would like to deploy software engineering practice into machine learning projects
has 2+ years working experience in developing machine learning products
is experienced in one of following programming languages: Python, Scala or Java. Experience in Spark and distributed computing is seen as a merit
has experience with handling high volume heterogeneous data (both batch and stream) and a good understanding about data storage and data structure
has experience in agile environment, team collaboration, data-driven development, reliable and responsible experimentation
is fluent in English, both written & spoken

What we can offer
At H&M we have a strong, value-driven culture characterized by believing in people, teamwork and an entrepreneurial spirit. Here you can be yourself and have room to grow. You’ll be part of an important project at H&M with significant opportunities to influence and make a difference. With the right mindset and ambition, you’ll find plenty of room to grow. We welcome your application regardless of gender, age, gender expressions, sexual orientation, disabilities, religious beliefs, origin or background.
Do you think we are a match? We hope so!
This is a fulltime position with placement in Stockholm. Please apply with CV and Cover Letter (in English) as soon as possible but at the latest the 15th of January. We review applications on an ongoing basis. Due to GDPR, we don’t accept applications via email. For questions about the position, please contact Talent Acquisitions Partner Kristina Dybeck, at kristina.dybeck@hm.com.
The H&M group is on an exciting journey to meet and exceed our customers' expectations today, tomorrow and in the future. Rapid technological development and new customer behaviors are transforming the fashion retail industry. To cater the individual needs and desires of our millions of customers, Business Tech will deliver technological solutions for the entire value chain for all our brands.
In Business Tech, we will continuously surprise and delight our customers and accelerate our business - by releasing the power of people, data and technology. We explore new ways of working, have a customer focused mindset, embrace our strong values and release the power of our people to innovate and develop products that make a meaningful impact to customers all over the world.
The best ideas evolve when great minds with different perspectives get together. We’re all on the same team in a global environment and we learn from each other. There are endless opportunities to grow – your development is all up to you!