(Senior) Artificial Intelligence Engineer

.Machine Learning (ML) and Artificial Intelligence(AI) are revolutionising the way of doing business at a global scale. sennder is a European digital freight forwarder with a data-centric problem-solving approach to build the next generation of supply chain and road logistics services. Do you want to help us to shape the future?We are looking for a Mid-level/Senior Artificial Intelligence Engineer to join our central AI Planning Team - as part of sennAI department. The department's mission is to achieve "Automated & Data-Driven Road Logistics". We're a large, diverse and multidisciplinary group of ML&AI engineers, data scientists, backend/frontend engineers and technical product people that are passionate about the new AI-empowered digitalization wave that is changing our world. We want to attract, retain and grow world-class talent to form an incredible group that can provide you the most productive and growth-friendly time of your career.sennAI's purpose is to build proprietary technology that can automate sales, brokerage and other business related activities. Such automation can enable a flywheel where data acquisition and revenues grow exponentially with one another. The scope of our teams is creating best-in-class predictive analytics services while approaching ML Engineering in an holistic, end-to-end fashion: from best practices in ML modelling until engineering excellence around our MLOps Platform that lifts the developer experience to a different realm.Every day, we acquire 3M+ new real-time data points (augmenting by the day!) about the road logistics industry in Europe. This data is used to build the future of logistics marketplaces where pricing optimization, load-to-carrier recommendation, load search and network optimization happen in an automated fashion.Can you even imagine where we can go with your help? Let's #keepOnTrucking... together!WHAT YOU WILL DO ...- Collaborate with team members to design, develope, and deploy AI solutions to solve problems like network optimization, truck routing, load suggestions, tour planning and load bundles, among others; - Utilise optimization and data science techniques to tackle complex logistic challenges; - Develop expertise in optimization (e.G