Hybrid Generative 3D AI Developer – BIM

at NeoBIM GmbH

• Job title: Generative 3D AI Developer – BIM
• Job type: Full Time
• Experience level: Mid level, Senior
• Salary: Not specified
• Degree requirement: Bachelor's Degree
• Tech skills: AWS, Azure, Cloud, Docker, Google Cloud Platform, Kubernetes, Python, PyTorch, Ray, Spark, Tensorflow
• Location requirements: Hybrid, Pune, India

About the role

• Join neoBIM as a Generative AI Developer to advance cutting-edge AI solutions for BIM. Work with state-of-the-art methods and collaborate with a talented AI team.

Responsibilities

• Looking for a highly skilled Generative AI Developer to join our AI team.
• 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.

Requirements

• 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.
• Good-to-Have Skills: Experience in NeRFs (Neural Radiance Fields) for 3D generative AI.
• Knowledge of AI for Architecture, Engineering, and Construction (AEC).
• Understanding of distributed computing (Ray, Spark, or Tensor Processing Units).
• Familiarity with AI model compression and inference optimization (ONNX, TensorRT, quantization techniques).
• Experience in cloud-based AI development (AWS/GCP/Azure).

Benefits

• Work on high-impact AI projects at the cutting edge of Generative AI.
• Competitive salary with growth opportunities.
• Access to high-end computing resources for AI training & development.
• A collaborative, research-driven culture focused on innovation & real-world impact.
• Flexible work environment with remote options.