Lead Machine Learning Engineer

Summary

Join Cosuno, a SaaS marketplace connecting construction contractors and subcontractors, and lead the development of AI solutions transforming construction industry processes. You will architect and implement machine learning models using traditional and generative AI, customize large language models, and design experiments to validate solutions. Collaboration with engineering and product teams is crucial to transition prototypes into production features. You will also establish best practices, mentor team members, and contribute to a dynamic, international, fully remote team with flexible hours and competitive compensation.

Requirements

• Master's or PhD in Computer Science, Mathematics, or related field
• Excellent Python programming skills with a focus on production-grade code
• Experience with ML ops and deploying models to production environments
• Track record of turning research concepts into practical business solutions
• Strong communication skills to explain complex technical concepts to various stakeholders
• Deep understanding of machine learning fundamentals, neural network architectures, and modern AI frameworks
• Experience in implementing complex ML models using PyTorch or TensorFlow

Responsibilities

• 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

Benefits

• Shape a product that solves real-life problems in the construction industry
• Work in an open-minded, collaborative, dynamic, and international team
• Fully remote team and work culture
• Freedom in your working hours. It's the results that count
• Company off-sites and regular team events (offline and online)
• Flexible working conditions with the possibility to do workations
• Competitive compensation, a permanent contract, and modern work equipment
• Open feedback culture with regular 1-on-1s