at H&M Group
Full TimeH&M is on a journey to meet and exceed our customers' expectations today and tomorrow. Through collaboration, innovation, and technology we challenge ourselves and the industry. To cater to the individual needs and desires of our millions of customers, our tech organisation delivers solutions for the entire value chain for all our brands.
We are accelerating digitalisation and to stay relevant, we need to ensure we have strong leaders in place to bring our best capabilities, innovation ideas and talented technologists to support the transformation of H&M.
We take pride in our history of making fashion accessible to everyone and our ambition for tomorrow is to make fashion even more sustainable, inclusive, and welcoming. If you want to make an impact as a Machine Learning Engineer on a global scale, then this is the opportunity for you!
We are now looking for Machine Learning Engineers to bring in key competencies to our Tech Center AI, Analytics & Data - part of Business Tech organisation. You will join our Machine Learning Area, where our vision is to make the H&M, the industry leader in applied AI with scalable and integrated solutions covering the entire value chain.
Are you passionate about creating world-class AI solutions?
You will play an important role in setting the foundation and shaping our future organisation, while continuously learning and growing.
Furthermore, you will:
Collaborate with Data Scientists and Data Engineers, to develop machine learning software products. This includes exploring large datasets, experimenting with new algorithms, feature engineering, testing and evaluating model output, deploying solutions for production usage, and scaling them across H&M’s comprehensive fashion network.
Design, develop, and maintain the large-scale data and cloud infrastructure required for machine learning projects.
Utilize your understanding of software architecture and design patterns to write scalable, maintainable, well-designed, and future-proof code.
Develop tools, frameworks, and components to address common needs in machine learning projects, such as model training, serving, monitoring, versioning, explainability, and feature reuse, A/B testing, infrastructure, security, etc.
Leverage your expertise in working with GCP and Vertex AI as a foundation for scaling AI and ML enterprise development.
Work in cross-functional agile teams of highly skilled machine learning engineers, data engineers, data scientists, and business stakeholders, to scale and build the AI ecosystem within H&M.
We are on a journey scaling AI development and changing fashion retail industry - we will continue to test, fail and learn. You are an important player in this transformation; therefore, we believe you are curious and eager to learn and spread your knowledge, are a true team player, have a positive mindset and embrace change.
We believe that you:
Have a BSc or MSc degree in computer science, engineering or related field, or equivalent practical experience.
Have 3+ years’ professional experience in working in a relevant role for a Machine Learning Engineer.
Are a hands-on person who loves coding, and you like applying software engineering practices to machine learning projects.
Have experience in developing software products that have been successfully deployed to production.
Have several years of coding experience in modern programming languages, such as, Python, Java, Go, etc.
Are familiar with cloud technologies (preferably Google Cloud).
In addition, we appreciate that you:
Have solid experience in MLOps practices, developing ML pipelines, and deploying ML applications to production.
Possesses a strong working knowledge of a variety of machine learning techniques, including regression, clustering, decision tree, probability models, neural networks, etc. You should also have extensive experience working with different ML frameworks.
Have strong background in Python programming and great hands-on experience in GCP and Vertex AI.
Have experience handling high volume heterogeneous data (both batch and stream) and a solid understanding of data structures, databases, and data storage technologies.
Have had exposure to scalable, highly available, fault tolerant, and secure system design and implementation.
Embrace the DevOps principle and possess hands-on experience with modern DevOps practices.
Have experience in software product lifecycle management, including designing, prototyping, implementing, testing, packaging, deployment, integration, maintenance, etc.
Are familiar with agile ways of working, team collaboration, data-driven development, reliable and responsible experimentation.
Working with tech at H&M
Shaping the future of fashion with people, data, and tech. The fashion and retail industries are going through a transformation, driven by customers' technology and sustainability expectations. At H&M Group, we want to shape the future of fashion and lifestyle by harnessing the power of smart tech and data. With our 74-year history of innovation, we understand the need to collaborate and co-create with engineers and tech specialists around the world to achieve our vision.
What we offer!
You are joining a unique value-driven culture, a large tech network and community where you can be yourself. Besides the obvious perks such as staff discount card, flexible work life, learning communities, wellness benefits, parental benefits etc. There are endless opportunities to experiment and grow in any direction that you want, and when you grow, we grow. Being a major player gives us countless opportunities to make a real impact and shape the future.
We are committed to create an inclusive & diverse workplace with a culture that is dynamic and innovative.
Do you think we are a match? We hope so!
This is a fulltime position with placement in Stockholm.
Please apply with a CV (English) as soon as possible. As a part of the process, you may be asked to complete tests connected to engineering. Interviews will be held continuously. We love code! If you have contributed to GitHub project(s), also send those to us - we are more than happy to take a look!
We look forward to receiving your application!
We do not accept applications through email due to GDPR
