Responsibilities
- Implement, test and maintain AI/ML solutions that ensure reliable, scalable, and high-quality production-grade deliveries.
- Contribute to the design and refinement of AI/ML features and services in collaboration with more experienced engineers.
- Participate in development activities such as code reviews, testing, and monitoring to ensure product quality, maintainability, and performance.
- Troubleshoot and resolve software, infrastructure, or data-related issues within existing AI/ML solutions.
- Collaborate with peers and stakeholders to clarify requirements and translate business needs into technical implementation tasks.
- Contribute to continuous improvement initiatives by suggesting enhancements to processes, tooling and engineering best practices.
- Stay updated on emerging AI/ML technologies, tools, and ways of working to continuously strengthen engineering capabilities.
Basic qualifications
- Strong Python programing skills and experience with tools, frameworks and technologies relevant to AI/ML development.
- Solid understanding of software engineering principles, testing methodologies, and best practices for building maintainable software solutions.
- Experience with cloud technologies and cloud-based AI/ML development, preferably on GCP and with Vertex AI.
- Thorough understanding of AI/ML algorithms, development lifecycle, MLOps practices and production-grade AI/ML solution development.
- Strong problem-solving skills and ability to troubleshoot software, infrastructure, and data-related issues.
- Practical experience in working with version control systems such as Git and Agile development practices.
Preferred qualifications
- Strong collaboration and communication skills, with the ability to work effectively across cross-functional teams and communicate technical topics to both technical and non-technical stakeholders.
- Ability to contribute to requirement analysis and translate business needs into technical implementation tasks together with more experienced engineers.
- Ability to independently drive implementation work, while also understanding when to seek support, alignment or escalation when needed.
- Attention to quality, maintainability and engineering standards in delivered AI/ML solutions, with a mindset focused on continuous improvement.
- Proactive and curious mindset with passion for technology, innovation and continuously strengthening team efficiency, engineering culture and ways of working.
Benefits
- Attractive benefits with extensive development opportunities around the globe.
- All employees receive a staff discount card, usable on all H&M Group brands in stores and online.
- In addition to our staff discount, all employees are included in our H&M Incentive Program – HIP.
- Local markets offer different competitive perks and benefits, which may differ between employment type and countries.
About the company
H&M Group is a global company of strong fashion brands and ventures. Our goal is to prove that there is no compromise between exceptional design, affordable prices, and sustainable solutions. We want to liberate fashion for the many, and our customers are at the heart of every decision we make.
We are made up of thousands of passionate and talented colleagues united by our shared culture and values. Together, we want to use our power, our scale, and our knowledge to push the fashion industry towards a more inclusive and sustainable future.
We are made up of thousands of passionate and talented colleagues united by our shared culture and values. Together, we want to use our power, our scale, and our knowledge to push the fashion industry towards a more inclusive and sustainable future.
Tags & focus areas
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