Lead Machine Learning Engineer - Generative AI

December 8, 2024

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Cosuno

WebsiteLinkedInAll Job Openings

Bausoftware • Einkaufsoptimierung • Aufgabenverwaltung • Angebotsmanagement • Digitale Ausschreibung

51 - 200 employees

☁️ SaaS

💰 $30M Series B on 2022-02

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

• 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

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