Artificial Intelligence Architect

vor 1 Monat


Munich, Bayern, Deutschland Conxai Technologies GmbH Vollzeit

We are developing an innovative AI Platform for the Architecture, Engineering, and Construction (AEC) industry. Conxai Technologies GmbH's cutting-edge platform leverages advanced artificial intelligence to enable construction domain experts to create complex use cases efficiently.

Job Overview

As a seasoned Artificial Intelligence Architect, you will be responsible for driving the development and production of deep learning models in our team. You will operate as both an individual contributor and collaborate with a team of highly skilled Machine Learning Engineers and talented interns.

  • Prototype ML models on real-world data, and bring it to production
  • Deliver production-grade ML models for AEC industry use cases
  • Design and adapt system architecture that satisfies product requirements
  • Manage the ML Interns to drive model customization
Requirements

We are looking for candidates with demonstrable experience in Deep Learning. In addition to theoretical knowledge, the candidate should have extensive industry experience in taking deep learning models to production and scaling on large-scale customer data.

  • M.S./Ph.D. in Computer Science or related field
  • 3+ years of Industrial experience in deep learning.
  • At least 2+ years of leading Machine Learning (Deep Learning) projects.
  • Experience in Computer Vision and Natural Language Processing. Specifically, experience working with autoregressive temporal models like Transformers, or RNNs
  • Working knowledge of VLMs
  • Exceptional implementation experience in developing new deep learning models in PyTorch
  • Thorough understanding of software design
  • Fluent and articulate in English
Compensation

The estimated salary for this position is approximately $140,000 per year, depending on qualifications and location.

Benefits
  • Dynamic and collaborative team working on cutting-edge technology
  • Opportunities for professional growth and development
  • Modern and inclusive work environment
  • Stock options
  • Flexible work hours


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