.Digitalization ManagerWe are seeking a Digitalization Manager who will lead the deployment of data-driven algorithms and processes to improve manufacturing operations, specifically focused on enhancing glass production. Your primary responsibility will be to harness the power of AI/ML technologies throughout the manufacturing chain to optimize glass production, reduce costs, and enhance personnel performance.About Arglass:Arglass revolutionizes the glass container industry. We know that the bottle is your brand's first impression.Unlike traditional manufacturers, we prioritize flexibility over mass production, serving everyone from craft distillers to industry giants.Our US-based plant offers creative freedom - shape, color, no volume demands. We're lean, nimble, and responsive, adapting to your changing needs. We optimize every step, from design to sustainability, delivering quality with mínimal resources.Sustainability is our core. We use cutting-edge tech to reduce impact, cut waste, save energy, and embrace eco-friendly materials. At Arglass, we empower you to adapt, optimize, and thrive.Why Arglass:Join Arglass, and you'll be part of a transformative journey in the glass container industry. We're not just manufacturers; we are pioneering innovators who are reshaping the landscape.- Efficiency Redefined: Our new plant is designed for optimization, ensuring that we produce the highest quality containers while efficiently using time and resources.- Sustainability: We take pride in our commitment to sustainability. Our environmentally friendly practices reduce waste, conserve energy, and prioritize eco-friendly materials.- Digitalization Focus: We are on a mission to revolutionize glass production through advanced digitalization. As a Digitalization Manager at Arglass, your role will be pivotal in this transformation.If you're ready to be part of a revolutionary team that offers personal and professional growth, collaborative synergy, and the autonomy to make a real impact, come join Arglass and help us redefine the glass container industry. Your exciting career journey begins here!Key Responsibilities:- Lead the strategic integration of AI/ML technologies into our manufacturing processes.- Implement data-driven algorithms and machine learning models to optimize machine settings and improve the quality of glass production.- Collaborate with engineers to improve manufacturing processes based on data-driven insights, ensuring that glass production is more efficient and consistent.- Implement quality control algorithms that can detect defects or variations in glass production, allowing for real-time adjustments to maintain high-quality standards.- Integrate data-driven automation solutions into manufacturing machines to increase precision and minimize errors.- Collaborate with cross-functional teams to identify opportunities for digitalization and automation