Generative 3D AI Developer for BIM

Vor 6 Tagen

BadenBaden, Baden-Württemberg, Deutschland NeoBIM GmbH Vollzeit 80.000 € - 120.000 € pro Jahr

neoBIM is a well-funded start-up software company revolutionizing the way architects design buildings with our innovative BIM (Building Information Modelling) software. As we continue to grow, we are building a small and talented team of developers to drive our software forward.

Tasks

We are looking for a highly skilled
Generative AI Developer
to join our AI team. The ideal candidate should have
strong expertise in deep learning, large language models (LLMs), multimodal AI, and generative models (GANs, VAEs, Diffusion Models, or similar techniques)
.

This role offers the opportunity to work on
cutting-edge AI solutions, from training models to deploying AI-driven applications
that redefine automation and intelligence.

  • 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

Must-Have Skills

  • 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.

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