Senior Machine Learning Engineer AI, Analytics & Data

  • Full Time
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Company Description

The H&M Group is on a journey to meet and exceed our customers' expectations today, and in the future. Through collaboration, innovation, and technology, we challenge both ourselves and the industry. In order to cater to the individual needs and desires of our millions of customers, our tech organization delivers solutions for the entire value chain for all our brands.

As we accelerate digitalization, we need to ensure we have strong leaders in place to bring our best capabilities, innovative ideas, and talented technologists to support the transformation of the H&M Group.

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!

Job Description

We are now looking for Machine Learning Engineers to bring key competencies to our Tech Center AI, Analytics & Data, a part of the Business Tech organization. You will join our Machine Learning 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.

Are you passionate about creating world-class AI solutions?

You will play an important role in setting the foundation and shaping our future organization, while continuously learning and growing.

In addition, 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, 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.

Qualifications

We are on a journey in scaling AI development and changing the 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, eager to learn and spread your knowledge, 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 a related field, or equivalent practical experience.
  • Have 3+ years of professional experience in a relevant role as a Machine Learning Engineer.
  • Are a hands-on person who loves coding, and enjoys 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.
  • Possess a strong working knowledge of various 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 a 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 have 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.

Additional Information

Working with tech at the H&M Group
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 the 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 creating an inclusive and diverse workplace with a culture that is dynamic and innovative.

Sounds interesting?

This is a full-time position based in Stockholm. Please apply as soon as possible.

We do not accept applications through email due to GDPR