NeoBIM GmbH

Generative 3D AI Developer – BIM

NeoBIM GmbH

full-time

Posted on:

Location Type: Hybrid

Location: Pune • 🇮🇳 India

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Job Level

Mid-LevelSenior

Tech Stack

AWSAzureCloudDockerGoogle Cloud PlatformKubernetesPythonPyTorchRaySparkTensorflow

About the role

  • 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.

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard skills
PythonPyTorchTensorFlowJAXLarge Language ModelsGenerative AIDiffusion ModelsGANsVAEsMLOps
Soft skills
collaborationcommunication