Staff Machine Learning Engineer

Machine Learning (ML) and Artificial Intelligence (AI) are revolutionizing 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 Staff Machine Learning Engineer to join our central Machine Learning Engineering teams – 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 a holistic, end-to-end fashion: from best practices in ML modeling 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!
Company: sennder
Qualifications: Language requirements: Specific requirements: Educational level: Level of experience (years): Senior (5+ years of experience)
Tagged as: Data Mining , Industry , Machine Learning , NLP , Predictive Analytics , Spain

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