Engineering manager – AI and machine learning

Företagsbeskrivning


Are you a leader that is passionate about people, tech and data? We are now looking for an experienced engineer manager within machine learning to join us in our new Business Tech organization. Join Misbah (video) and the rest of our team creating world-class AI solutions!
Business Tech is a new modern agile product organization within the larger H&M group. We are a team of small and cross-competent teams each owning a product end-to-end with a mission to meet and exceed our customers’ expectations. You will be able to try out your creative and innovative ideas – and have an indecisive impact on how we shape the future of fashion and design.
In the AI, Analytics & Data domain you will be part of our AI Foundation Product Area where our vision is to make H&M Group the industry leader in applied AI with scalable and integrated solutions covering the entire value chain.
Within this area you will take responsibility for several products that create AI solutions
- for optimizing the supply chain & pricing across the H&M Group - with ultimate accountability for the business and customer value it delivers or
- improve decision making in areas such as customer acquisition, retention, reactivation and personalization with ultimate accountability to grow the value of our customer base and improve the personalized experience of shopping at the H&M group.




Jobbeskrivning


Responsibilities
As a result-driven leader, you will play a vital role for us in our mission to make H&M Group a true data- and AI-driven company by empowering teams to deliver highly scalable AI solutions using modern software engineering best practices.
You will be responsible for two teams consisting of around 10-15 engineers, both of which work in a fully agile and cross-functional setup. You need to be passionate about people in all aspects, from recruiting, developing, coaching, and shaping the team. You do this in close collaboration with the team’s Product Owner and Scrum Master, and together you are the trio that supports the teams becoming well-functioning and high performing with people as the center of your joint mission.
As a Machine Learning Engineer Manager, you will also:
Help teams ensure that their solutions are in line with our machine learning best practices for the full AI development lifecycle.
Facilitate collaboration across teams & domains
Support career development and discuss the performance of your engineers
Empower the teams without micro-managing
Help the teams make high-quality decisions if they are blocked.






Kravspecifikation


Who you are?
You are smart, humble, and passionate about helping shape the agenda for our AI-driven future. In order to succeed, we believe that you have previous experience in leading highly technical personnel in an agile software development environment and have previous experience and passion for AI. You also have a good understanding of modern technologies such as cloud, workflow orchestration, and model serving patterns. You, data & software engineering are close friends, and you understand the challenges in implementing AI solutions that are easy to operate & maintain.
We believe you are a person that makes an impact, easily engages people, and believes in creating a learning organization. You are a strong leader and act as an ambassador in the organization in how to coach and develop the team. You have strong communication skills, experience with change management, and believe in the power of people. You feel accountable for the work being undertaken and take pride in challenging/changing the status quo. You dare to speak up when necessary and seek input and feedback to improve further. We believe that you are skilled in stakeholder management and great in building a big network within the organization.
You also
have previous experience with leadership and staff responsibility
have a degree in data science, AI, software engineering, or a similar field (e.g., computer science and programming) and a strong will to continuously develop your engineering skillset
have key technical skills to help advise teams to deliver AI solutions.
are results-oriented and a good communicator.
have about 6 years of relevant working experience in developing machine learning products,
experience in the retail domain focused on customer experience, marketing, or supply chain
have experience with handling high volume heterogeneous data (both batch and stream) and a good understanding of data storage and data structure would be a big plus
have experience in an agile environment, team collaboration, data-driven development, reliable and responsible experimentation
you are a team player, solution-driven and open-minded, with a passion for continuous improvement







Ytterligare information


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 will 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 will 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 full-time position with placement in Stockholm. Please apply with your CV and Personal letter as soon as possible. We screen applications on a continuous basis. If you have any questions about the role, please contact Talent Acquisitions Partner Lovisa Ermell at lovisa.ermell@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.