Global Business IT and Technology Partnering Specialist İş İlanı

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 1,300 sites, we are well on our way to achieving our vision: 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. DARE TO GROW! Join CEVA Logistics, and you will be part of a team that values imagination, encourages boldness and exemplarity, and is committed to excellence in everything we do. Join us in our mission to shape the future of global logistics as we become a global leader in the logistics industry. As we continue growing at a fast pace, will you Dare to Grow with us?

As a Senior AI Specialist at CEVA Logistics, you will provide deep technical expertise in AI, machine learning and advanced analytics for logistics and commercial teams. You will design and develop solutions, work with business and technology colleagues to understand their needs, and help move effective prototypes into practical use. This is a senior individual contributor role focused on hands-on technical work.

• Assess AI and analytics use cases with business stakeholders, clarifying technical feasibility, data requirements and measurable outcomes.

• Design, build and improve generative AI assistants and workflow automation, from prototype through implementation.

• Develop machine learning models for forecasting and classification across logistics and commercial use cases.

• Apply deep learning techniques to documents and images, including computer vision, to solve practical logistics problems.

• Use Python and advanced analytics to identify root causes, solve complex logistics problems and support data-driven decisions.

• Work with data, engineering and security teams to connect solutions to reliable data sources and existing systems.

• Define evaluation methods and assess accuracy, usability, security and business impact; improve solutions using user feedback.

• Advise stakeholders on AI capabilities and limitations, and ensure solutions follow data privacy, information security and responsible AI requirements.

• Substantial hands-on experience developing and implementing AI, machine learning or advanced analytics solutions in a business environment.

• Strong practical knowledge of forecasting, classification, deep learning and computer vision; experience with document processing is an advantage.