MLOps Engineer / Data Scientist

As a MLOps Engineer/Data scientist, you will play a pivotal role in CEVA Logistics' Global IT Data & Digital organization, reporting directly to the Global IT Data & Digital – BI & Advanced Analytics – AI & Data Science Manager. This hybrid role combines the expertise of data science with operational practices focused on the industrialization and deployment of AI and machine learning solutions at scale. You will collaborate with cross-functional teams in IT, Corporate Support Functions, Business Development, and Operations to drive the development and industrialization of machine learning models. Your work will ensure that AI-driven insights and use cases are seamlessly integrated, scalable, and continuously optimized to provide ongoing value to CEVA Logistics and its customers. This position requires expertise not only in data science and machine learning but also in the processes that turn innovative solutions into robust, enterprise-grade systems.

CEVA Logistics provides global supply chain solutions to connect people, products, and providers all around the world. Present in 170+ countries and with more than 110,000 employees spread over 1,500 sites, we are proud to be a Top 5 global 3PL. We believe that our employees are the key to our success. We want to engage and empower our diverse, global team to co-create value with our customers through our solutions in contract logistics and air, ocean, ground, and finished vehicle transport. That is why CEVA Logistics offers a dynamic and exceptional work environment that fosters personal growth, innovation, and continuous improvement.