.At ISS Tech Team we are investing in innovative and integrated technological solutions for the Facility Management Industry with a tech team headquartered in Copenhagen, Warsaw, and Porto. Our Porto tech hub is the first space dedicated specifically to software development and acts as a powerhouse where our employees test and implement products for over 40,000 clients and 350,000 placemakers around the world. Are you ready to transform the Integrated Facility Management Industry? To become the technology leader in the Integrated Facility Management industry (FMS), we're developing digital components connected by AWS and Azure cloud solutions, building our machine learning models to make better use of our wealth of data, create predictions, and advanced AI for custom Large Language Models (LLM). We take care of office buildings worldwide! These offices are increasingly equipped with technology, such as sensors and Internet of Things (IoT) devices, to support a more productive and seamless workday for employees. The purpose of our Porto innovation lab is to develop differentiating, high-quality, and scalable digital solutions for both the ISS enterprise and customers worldwide. Be part of a project to make the world work better! We are seeking a talented and enthusiastic Machine Learning Engineer to join our dynamic and future-oriented team. As a key member of our Advanced Analytics team, you will play a crucial role in developing and deploying cutting-edge machine learning models and solutions. You'll collaborate closely with our data scientists, software engineers, and DevOps professionals to drive innovation and bring our AI-powered products to life. What will you do: Develop, implement, and optimize machine learning models and algorithms to solve complex business challenges. Design and implement scalable and efficient machine learning pipelines for model training, validation, deployment, and monitoring. Explore new technologies and tools to enhance the efficiency and effectiveness of our machine learning processes. Continuously monitor and improve the performance of deployed models, ensuring reliability and accuracy over time. Maintain and develop Machine Learning Infrastructure on Cloud. Stay up to date with the latest advancements in Machine Learning and AI to contribute to the company's innovation roadmap. Who you'll work with: Collaborate with cross-functional teams to gather requirements, analyze data, and formulate solutions that drive actionable insights. Work closely with DevOps teams to ensure seamless integration of machine learning components into production systems. What makes you a great fit: Bachelor's or master's degree in computer science, data science, machine learning, software engineering, or a related field. Experience in machine learning engineering or MLOps or a related role