Requirements Summary

Strong engineering, data and AI fundamentals, 4+ years of experience in software engineering, data engineering, AI/ML engineering or a related field

Benefits

Education

Bachelor's degree

Full Job Description

Role Overview We are looking for an experienced Data, AI/ML, GenAI & Agentic AI Engineer to help design and build a data-first platform for the global supply chain. This role combines data engineering, software engineering, AI/ML and architecture. You will build reusable platform capabilities rather than one-off solutions and work closely with engineers, data scientists, architects, product teams and supply-chain experts. What You Will Do Design and build scalable data and AI architecture for data-intensive systems, build trusted data foundations and reusable data products from multiple sources, and enable data democratization and self-service access to trusted data. Why It Might Be a Fit This is a greenfield opportunity to help build the foundation for the next generation of supply-chain intelligence at Maersk. You will help shape the architecture, data foundation, engineering practices and AI capabilities that will enable future digital supply-chain experiences at Maersk. Requirements 4+ years of experience in software engineering, data engineering, AI/ML engineering or a related field Experience designing and building scalable, distributed and data-intensive systems Strong programming skills in Java and Python Experience with technologies such as Kafka, Spark, Databricks, Flink or equivalent Experience building data pipelines, data products or data platforms at scale Experience with relational and/or NoSQL databases Hands-on experience taking ML models from development to production, including deployment, monitoring and evaluation Experience with GenAI/LLMs and building practical, production-ready applications Experience with at least one cloud platform such as Azure, AWS or Google Cloud Strong software engineering practices including automated testing, CI/CD and production operations Benefits Competitive salary Equity Healthcare PTO Retirement plan Learning budget Parental leave Wellness programs Visa/relocation assistance Remote flexibility Stipends Bonus/commission Paid holidays

Skills and Technologies