Remote Lead Machine Learning Engineer – Generative AI
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Description:
Lead the development of AI solutions that transform complex construction industry processes into streamlined, intelligent workflows.
Architect and implement machine learning models, focusing on both traditional ML and advanced generative AI approaches.
Customize and fine-tune large language models to address specific construction industry challenges.
Design and conduct experiments to validate AI solutions' effectiveness and scalability.
Collaborate with our engineering and product teams to transform promising prototypes into production-ready features.
Establish best practices for AI development and implementation within Cosuno.
Mentor team members on AI/ML best practices and drive technical excellence.
Requirements:
A Master's or PhD in Computer Science, Mathematics, or a related field is required.
Excellent Python programming skills with a focus on production-grade code are essential.
Experience with ML ops and deploying models to production environments is necessary.
A track record of turning research concepts into practical business solutions is expected.
Strong communication skills to explain complex technical concepts to various stakeholders are important.
A deep understanding of machine learning fundamentals, neural network architectures, and modern AI frameworks is required.
Experience in implementing complex ML models using PyTorch or TensorFlow is necessary.
Benefits:
You will have the opportunity to shape a product that solves real-life problems in the construction industry.
Work in an open-minded, collaborative, dynamic, and international team environment.
Enjoy a fully remote team and work culture.
There is freedom in your working hours, as the focus is on results.
Participate in company off-sites and regular team events, both offline and online.
Flexible working conditions are available, including the possibility to do workations.
Competitive compensation, a permanent contract, and modern work equipment are provided.
An open feedback culture with regular 1-on-1s is encouraged.