FAQs
What is the role of a Machine Learning Engineer at Ramboll?
The Machine Learning Engineer, specifically as an LLM Engineer at Ramboll, will work on building ML and data-based solutions, experimenting with innovative methods in the Azure Cloud, collaborating with international teams, and contributing to the development of valuable AI products.
What qualifications are needed for this position?
Candidates should have solid experience in implementing ML solutions in the Azure Cloud, a strong understanding of various ML technologies (including LLMs and Diffusion Models), and a desire to continuously learn and work in interdisciplinary teams.
Is prior experience in cross-functional teams required?
Yes, experience in cross-functional teams and implementing ML-driven solutions is highly desirable for this role.
What is the team culture like at Ramboll Tech?
Ramboll Tech maintains a strong team culture that emphasizes support, idea exchange, collaboration, and continuous learning. The team values diversity and encourages open discussions on improvement and inclusivity.
Where can this position be based?
This position can be based at any European Ramboll office.
Is there a focus on personal and professional development?
Yes, Ramboll is committed to supporting personal and professional development for its employees.
Are there opportunities to work with new ML trends?
Yes, the role encourages staying updated with new trends in ML and using them in daily work.
What is the company’s stance on diversity and inclusion?
Ramboll places strong importance on equality, diversity, and inclusion, believing that unique experiences and perspectives are essential for creating sustainable societies.
How does Ramboll support work-life balance?
Ramboll practices a hybrid work approach, providing flexible work arrangements tailored to the needs of teams and individuals while also facilitating regular in-person meetings.
How should candidates apply for the job?
Interested candidates should submit their application, including relevant documents such as their CV and an indication of salary expectations.