Senior AI Engineer developing production - grade AI and automation systems for NetBrain's network automation platform. Responsible for architecture, evaluation, scalability, and reliability in production.
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.
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