Lead Machine Learning Engineer

As a Lead Machine Learning Engineer at Ramboll Tech, you will play a pivotal role in creating cutting-edge AI solutions while nurturing a collaborative and growth-oriented culture. In this position, you will work closely with product owners, Chapter leads, and global ML Engineers to define technical roadmaps, implement best practices, and deliver impactful AI solutions. Your responsibilities will include defining architectural patterns for scalable LLM pipelines, integrating external knowledge bases, researching and developing effective RAG architectures, exploring state-of-the-art LLMs, evaluating and optimizing models, and driving continuous improvement through experimentation. Additionally, you will establish coding standards, mentor ML engineers, and ensure the success of ML-Ops for your Pod. To excel in this role, you should possess a Bachelor's or Master's degree in Computer Science or a related field, along with a minimum of 5 years of experience in implementing machine learning projects. Strong leadership skills, expertise in LLM and RAG architectures, proficiency in modern Transformer-based LLMs, and experience with programming tools like Python, PyTorch, TensorFlow, and deployment tools such as Docker and Kubernetes are essential. At Ramboll Tech, our team culture values curiosity, optimism, ambition, and empathy. We prioritize open communication, collaboration, and continuous learning, while fostering diversity and inclusivity within our workplace. As part of a global architecture, engineering, and consultancy firm, we are committed to sustainability, innovation, and creating a livable world where individuals can thrive in harmony with nature. If you are passionate about driving innovation, leading technical projects, and contributing to a dynamic team environment, we encourage you to apply for this role. Submit your CV and a cover letter through our application tool to begin the conversation about joining our team at Ramboll Tech. For any inquiries or requests regarding the application process, please contact us at [email protected],