Deep Learning Architect for AEC Industry
vor 1 Tag
We are a leading innovator in the Architecture, Engineering, and Construction (AEC) industry, pushing the boundaries of AI technology. Our cutting-edge platform leverages advanced AI to empower construction domain experts to create complex use cases efficiently.
About the RoleAs a highly skilled Deep Learning Architect, you will be responsible for driving the development and production of deep learning models that cater to the needs of our esteemed clients in the AEC industry.
- Design and develop innovative deep learning solutions for real-world data, ensuring seamless integration with our existing platform.
- Collaborate with cross-functional teams to deliver high-quality, production-grade ML models that meet the stringent requirements of our clients.
To excel in this role, we seek an exceptional individual with a strong background in Deep Learning, boasting extensive industry experience in taking deep learning models to production and scaling on large-scale customer data.
- Master's or Ph.D. in Deep Learning from a reputable institution.
- No less than 3 years of industrial experience in deep learning, with a proven track record of success.
- A minimum of 2+ years of leadership experience in managing Machine Learning (Deep Learning) projects.
- Profound knowledge of Computer Vision and Natural Language Processing, specifically expertise in autoregressive temporal models like Transformers or RNNs.
- Familiarity with Visual Language Models (VLMs) and Large Language Models (LLMs).
- Exceptional implementation skills in developing new deep learning models using PyTorch.
- Thorough understanding of software design principles.
- Fluency in English language, both written and verbal.
- A dynamic and collaborative team environment working on groundbreaking technology.
- Ongoing opportunities for professional growth and development.
- A modern and inclusive work atmosphere that fosters creativity and innovation.
- Stock options as part of our comprehensive compensation package.
- Flexible work hours to promote work-life balance.
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