H&M Group is looking for a Senior Machine Learning Engineer to drive the design, refinement, and development of AI/ML products, ensuring the timely delivery of high-quality solutions. In this role, you will lead architectural decisions and technical roadmap planning.

What You'll Do

Drive design, refinement and development of AI/ML products, ensuring timely delivery of high-quality solutions.
Lead architectural decisions and technical roadmap planning of the product.
Ensure product quality, security and performance through well-established practices.
Identify risks and dependencies as well as creating the alignment needed with dependent teams to deliver on committed roadmaps.
Mentor and support engineering colleagues, fostering professional growth, and promoting a strong, collaborative engineering culture.
Support the wider Machine Learning Engineering organization through active participation in organizational initiatives such as recruitment and onboarding.
Contribute to improvement of processes and best practices both within the product team and in the larger organization.

What We're Looking For

Strong proven experience in Python and other tools and frameworks relevant to AI/ML development.
Deep understanding of cloud technologies and cloud development, preferably on GCP and including AI/ML development with VertexAI.
Solid understanding and experience of MLOps, including testing, monitoring and proactive incident management to ensure product stability.
Solid understanding of system architecture, design, performance optimization and security principles for building robust AI/ML solutions.
Strong problem-solving skills and ability to troubleshoot software or data issues.

Nice to Have

Excellent communication skills to engage stakeholders, influence decisions and align work with strategic goals.
Ability to co-create clear and achievable product roadmaps and efficiently identify risks and dependencies.
Experience interfacing with stakeholders and taking responsibility to translate business requirements into technical specifications.
Strong technical leadership and mentoring skills, with the ability to support and guide the team members.
Ability to drive innovation to enhance product, improve processes and increase delivery efficiency.

Technical Stack

Python
GCP
VertexAI

Team & Environment

Part of a cross-functional product team with other ML engineers, data scientists and data analysts, collaborating closely with business stakeholders, solution architects and engineering manager.