Computer Vision Engineer

vor 4 Wochen

Munich, Bayern, Deutschland Conxai Technologies GmbH Vollzeit

At Conxai Technologies GmbH, we are pioneering an AI Platform tailored for the Architecture, Engineering, and Construction (AEC) sector. Our innovative platform harnesses sophisticated AI technologies to empower construction professionals in efficiently crafting intricate use cases.

Key Responsibilities

We are in search of a Machine Learning Engineer with a strong background in Deep Learning, Computer Vision, and Natural Language Processing. This role will involve spearheading the development and deployment of deep learning models. You will function as an individual contributor while also collaborating with a team of adept Machine Learning Engineers and supervising talented interns.

  • Develop and prototype machine learning models using real-world datasets, ensuring their transition to production
  • Create production-ready machine learning models for applications within the AEC industry
  • Architect and modify system designs to meet product specifications
  • Oversee the work of ML interns to facilitate model customization
Qualifications

We seek candidates who possess substantial experience in Deep Learning. Beyond theoretical knowledge, candidates should have a robust background in deploying deep learning models and scaling them with extensive customer data.

  • Master's or PhD in Deep Learning or a related field
  • A minimum of 3 years of industry experience in deep learning
  • At least 2 years of experience leading Machine Learning (Deep Learning) initiatives
  • Proficiency in Computer Vision and Natural Language Processing, particularly with autoregressive temporal models such as Transformers or RNNs
  • Familiarity with Vision Language Models (VLMs)
  • Strong implementation skills in developing new deep learning models using PyTorch
  • Comprehensive understanding of software architecture
  • Proficient in English communication
What We Offer
  • A dynamic and collaborative environment focused on cutting-edge technology
  • Opportunities for professional advancement and skill development
  • A modern and inclusive workplace culture
  • Equity options
  • Flexible working hours

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