Do you want to turn cutting-edge machine learning into real-world results? Join us in shaping the future of data-driven decisions at ECCO.
As our Machine Learning Engineer, you’ll take ownership of production ML systems, ensuring they run reliably at scale. You’ll enable seamless transition from model development to production and drive automation that makes our solutions robust and efficient.
Your tasks include:
- Designing and maintaining ML pipelines for scalability and reliability.
- Automating model training, deployment, and monitoring processes.
- Collaborating with data scientists to integrate models into production.
- Improving ML Ops infrastructure to reduce failures and enhance performance.
- Contributing to architectural decisions and implementing best practices.
Within your first year, you’ll have improved and expanded our existing ML Ops setup, improving reliability of our ML pipelines and enabling data scientists to expand forecasting across more products and regions. You’ll take ownership of production ML pipelines, contribute to architectural improvements, and deliver measurable gains in reliability, performance, and automation.
Startup spirit meets global scale
You’ll become part of our Data Science & Machine Learning team. It’s a close-knit group of four data scientists and a product owner working with high autonomy and a startup mindset, backed by the reach of a global brand. We design and scale advanced data science solutions that influence everything from collection planning to retail operations. The atmosphere is social, fun, and focused on delivering tangible impact through well-engineered data and AI solutions. While we value flexibility to work from home, most of us enjoy being in the office for collaboration.
Curious problem-solver with a passion for scalable ML
We’re looking for someone who thrives on turning complex challenges into elegant solutions. You understand software engineering principles and ML Ops practices, enjoy collaborating across disciplines, and continuously learn as technology evolves. If you don’t tick every box, that’s okay. Curiosity and a growth mindset matter most, so we’d love to hear from you anyway.
What we’re looking for:
- Experience designing and maintaining ML pipelines in production environments. Alternatively, you can be a skilled software engineer wanting to get into ML engineering, or a data scientist wishing to focus more on software engineering.
- Strong programming skills and familiarity with ML frameworks.
- Knowledge of cloud platforms and containerisation tools.
- A collaborative approach and strong problem-solving mindset.
- Strong oral and written communication skills in English, with the ability to explain and influence non-technical audiences.
Ready to craft data solutions with pride?
Apply now and build reliable machine learning systems at scale. If you have questions about the role, feel free to reach out to Thomas Jauho, Group Director Data & AI, at thjau@ecco.com.
Imagining yourself at ECCO? Get a glimpse of what your new exciting career entails on https://enter.ecco.com.
CREATE THE FOOTPRINTS OF TOMORROW
At ECCO, you become part of a meaningful, developing and multicultural workplace. You join a global family of more than 23,000 people who are proud to create the footprints of tomorrow.
Headquartered in Denmark, we are a family-owned company that offers international opportunities. Our offices and facilities have an informal culture and relaxed dress code - our shoe code is slightly stricter.
Join us and we guarantee lifelong learning - the speed of progress is up to you. So, if you´re curious, passionate and ready to make an impact, you´ll fit right in.