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Generative 3D AI Developer for BIM: India (Pune Preferred)

0 years

0 Lacs

pune maharashtra india

Posted:21 hours ago| Platform: Linkedin logo

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Skills Required

ai developer bim software design drive learning cutting training automation model content data research ml aws gcp programming pytorch tensorflow tuning vision scaling docker kubernetes mlflow preprocessing engineering pipeline mathematics statistics architecture spark processing inference optimization onnx quantization development collaborative

Work Mode

Remote

Job Type

Full Time

Job Description

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

Generative AI Developer

cutting-edge AI solutions, from training models to deploying AI-driven applications


  • 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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