Generative 3d Ai Developer For Bim

Role Overview:

You will be joining a well-funded start-up software company, neoBIM, that is revolutionizing the way architects design buildings with innovative BIM Building Information Modelling software. As part of a small and talented team of developers, you will have the opportunity to work on cutting-edge AI solutions, from training models to deploying AI-driven applications that redefine automation and intelligence.

Key Responsibilities:

• Develop, fine-tune, and optimize Generative AI models, including LLMs, GANs, VAEs, Diffusion Models, and Transformer-based architectures.
• Work with large-scale datasets and design self-supervised or semi-supervised learning pipelines.
• Implement multimodal AI systems that combine text, images, audio, and structured data.
• Optimize AI model inference for real-time applications and large-scale deployment.
• Build AI-driven applications for BIM Building Information Modeling content generation and automation.
• Collaborate with data scientists, software engineers, and domain experts to integrate AI into production.
• Stay ahead of AI research trends and incorporate state-of-the-art methodologies.
• Deploy models using cloud-based ML pipelines (AWS, GCP, Azure) and edge computing solutions.

Qualifications Required:

• Strong programming skills in Python, PyTorch, TensorFlow, JAX, or equivalent.
• Experience in training and fine-tuning Large Language Models (LLMs) like GPT, BERT, LLaMA, or Mixtral.
• Expertise in Generative AI techniques, including Diffusion Models (e.g., Stable Diffusion, DALL-E), Imagen, GANs, VAEs.
• Hands-on experience with transformer-based architectures (e.g., Vision Transformers, BERT, T5, GPT, etc.).
• Experience with MLOps frameworks for scaling AI applications (Docker, Kubernetes, MLflow, etc.).
• Proficiency in data preprocessing, feature engineering, and AI pipeline development.
• Strong background in mathematics, statistics, and optimization related to deep learning.

Additional Details:

The company, neoBIM GmbH, offers a competitive salary with growth opportunities, access to high-end computing resources for AI training and development, a collaborative research-driven culture focused on innovation and real-world impact, and a flexible work environment with remote options. Role Overview:

You will be joining a well-funded start-up software company, neoBIM, that is revolutionizing the way architects design buildings with innovative BIM Building Information Modelling software. As part of a small and talented team of developers, you will have the opportunity to work on cutting-edge AI solutions, from training models to deploying AI-driven applications that redefine automation and intelligence.

Key Responsibilities:

• Develop, fine-tune, and optimize Generative AI models, including LLMs, GANs, VAEs, Diffusion Models, and Transformer-based architectures.
• Work with large-scale datasets and design self-supervised or semi-supervised learning pipelines.
• Implement multimodal AI systems that combine text, images, audio, and structured data.
• Optimize AI model inference for real-time applications and large-scale deployment.
• Build AI-driven applications for BIM Building Information Modeling content generation and automation.
• Collaborate with data scientists, software engineers, and domain experts to integrate AI into production.
• Stay ahead of AI research trends and incorporate state-of-the-art methodologies.
• Deploy models using cloud-based ML pipelines (AWS, GCP, Azure) and edge computing solutions.

Qualifications Required:

• Strong programming skills in Python, PyTorch, TensorFlow, JAX, or equivalent.
• Experience in training and fine-tuning Large Language Models (LLMs) like GPT, BERT, LLaMA, or Mixtral.
• Expertise in Generative AI techniques, including Diffusion Models (e.g., Stable Diffusion, DALL-E), Imagen, GANs, VAEs.
• Hands-on experience with transformer-based architectures (e.g., Vision Transformers, BERT, T5, GPT, etc.).
• Experience with MLOps frameworks for scaling AI applications (Docker, Kubernetes, MLflow, etc.).
• Proficiency in data preprocessing, feature engineering, and AI pipeline development.
• Strong background in mathematics, statistics, and optimization related to deep learning.

Additional Details:

The company, neoBIM GmbH, offers a competitive salary with growth opportunities, access to high-end computing resources for AI training and development, a collaborative research-driven culture focused on innovation and real-world impact, and a flexible work environment with remote options.