Machine Learning Engineer

We are proud to partner with an innovative client in the construction technology space who is at the forefront of AI-driven BIM (Building Information Modelling) and automation. Their mission is to revolutionise the Architecture, Engineering, and Construction (AEC) industry by harnessing the power of generative AI - crafting intelligent design solutions and streamlining complex workflows like never before.

This is more than just a job - it’s an opportunity to see your work materialise in the real world. You’ll collaborate with a talented team of software developers and AI specialists, building advanced models and state of the art generative AI tools that redefine how buildings and infrastructure are designed, planned, and constructed.

If you’re passionate about merging AI innovation with real-world impact, and want to shape the future of intelligent design, this is the perfect role for you.

Key Responsibilities:

• Develop and fine-tune Generative AI models (LLMs, GANs, VAEs, Diffusion Models).
• Implement multimodal AI systems (text, image, audio, structured data).
• Optimize AI model inference for real-time applications.
• Deploy models using cloud-based ML pipelines (AWS/GCP/Azure).
• Apply AI techniques to 3D BIM, content generation, and automation.
• Collaborate with engineers and researchers to drive AI innovation.

Key Requirements:

• Strong Python skills (PyTorch, TensorFlow, or JAX).
• Experience training and fine-tuning LLMs (GPT, BERT, LLaMA, etc.).
• Hands-on expertise in transformer-based architectures.
• Familiarity with MLOps (Docker, Kubernetes, MLflow).
• Strong mathematical and statistical foundation in deep learning.

Nice to Have:

• Experience in 3D BIM and AI for AEC (Architecture, Engineering, Construction).
• Experience in 3D generative AI.
• Understanding of distributed computing & model optimisation.

Why Join?

• Salary: €80,000 - €100,000
• Remote role based in Germany
• Work on cutting-edge AI projects with real-world impact
• Access to high-end AI computing resources
• Flexible, research-driven work environment

Interested? Apply now to be part of a forward-thinking AI team!