Aktuelle Jobs im Zusammenhang mit Machine Learning Engineer - Munich, Bayern - Conxai Technologies GmbH

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Machine Learning Engineer

vor 2 Monaten

Munich, Bayern, Deutschland Conxai Technologies GmbH Vollzeit
About Conxai Technologies GmbH

We are a pioneering deep tech start-up, dedicated to revolutionizing the $12T global construction industry using Domain AI and Frontier Tech.

Job Summary

We are seeking a highly skilled Machine Learning Engineer to drive the development and production of deep learning models for our AI Platform. The ideal candidate will have extensive experience in Deep Learning, Computer Vision, and Natural Language Processing, and a strong background in taking deep learning models to production and scaling on large-scale customer data.

Key Responsibilities
  • Design and develop production-grade deep learning models for AEC industry use cases
  • Prototype ML models on real-world data and bring them to production
  • Collaborate with a team of highly skilled Machine Learning Engineers to drive model customization and scaling
  • Manage talented Machine Learning interns to drive model development and deployment
Requirements
  • MS/PhD in Deep Learning or a related field
  • 3+ years of Industrial experience in deep learning, with a strong focus on taking models to production
  • At least 2+ years of leading Machine Learning (Deep Learning) projects, with a proven track record of success
  • Experience in Computer Vision and Natural Language Processing, specifically with autoregressive temporal models like Transformers or RNNs
  • Working knowledge of VLMs and exceptional implementation experience in developing new deep learning models in PyTorch
  • Thorough understanding of software design and a strong background in AI/ML research
  • Fluent and articulate in English, with excellent communication and collaboration skills
What We Offer
  • A dynamic and collaborative team working on cutting-edge technology
  • Opportunities for professional growth and development, with a focus on AI/ML research and innovation
  • A modern and inclusive work environment, with flexible work hours and a strong focus on work-life balance
  • Stock options and a competitive salary package