Machine Learning Engineer AI, Advanced Analytics & Data

Company Description


At H&M, we are on an exciting journey where fashion and tech make magic together. As rapid technological development and new customer behaviors are transforming the fashion retail industry, our mission is to meet and exceed our customers' expectations. All while keeping in mind sustainable practices. We know that the best ideas evolve when great minds with different backgrounds and perspectives get together.
At H&M, we are all on the same team in a global environment where we learn from each other and grow together. We live our values and know that sharing knowledge is the best way to continuously improve our ways of working and creating.
We are proud to foster a workplace free from discrimination. We strongly believe that diversity of experience, perspectives, and background will lead to a better environment for our employees and a better product for our users. H&M Group – Business Tech.
There are countless reasons for you to consider joining H&M, but here is a list we think summarizes the most important ones:
There are tremendous amounts of growth opportunities: we have many courses and workshops running so that you can become your best-self;
You will be surrounded by incredible colleagues from all around the globe;
You will experience what being part of a large organization means;
The opportunity to always be on the forefront of tech and fashion

H&M Business Tech is the global function delivering innovative technological solutions for the entire value chain of all our brands.




Job Description


Do you want to be a part of a team creating world-class AI solutions?


We are now looking for Machine Learning Engineers to bring in key competencies to the Business Tech function.


In the AI, Analytics & Data domain which is a part of Business Tech, you will be part of our AI Foundation Product Area, where our vision is to make the H&M Group, the industry leader in applied AI with scalable and integrated solutions covering the entire value chain.
You will play an important role in setting the foundation and creating our future organisation. 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





Qualifications


Our journey will lead to something new and exciting - we will test, fail and learn.
We need you for this transformation; therefore, we believe you are flexible, stress-resilient and able to work in an environment that is not yet too formalized.
Minimum Qualifications
You have a degree in Computer science or similar fields, such as software engineering, or equivalent practical experience
1 year + professional experience in a similar field is preferred
You are a hands-on person and love coding as much as breathing. You like applying software engineering practices to machine learning projects.
You have experience in developing software products that went to production
You have a couple of years of experience in coding in modern programming languages, such as, Python, Java, Go, etc.
You have experience in cloud technologies (preferably Azure or Google Cloud)

Preferred Qualifications
You have experience in deploying machine learning applications to production
You have experience in handling high volume heterogeneous data in batch and/or stream applications using Spark or other distributed computing paradigms
You have a solid understanding of data structures, databases, and data storage technologies applicable particularly to data intensive applications
You have exposure to scalable, highly available, fault tolerant, and secure system design and implementation
You have experience in agile ways of working, team collaboration, data-driven development, reliable and responsible experimentation
You embody the DevOps principle and have hands-on experience in modern DevOps practices
You have experience in software product lifecycle management, including designing, prototyping, implementing, testing, packaging, deployment, integration, maintenance, etc.

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 (English) as soon as possible.
Due to GDPR, we do not accept applications via email.




Additional Information


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