Back
Tier-1 brand and metro location increase competition, but senior, specialized data-platform role limits applicant density.
Core data platform and MLOps skills transfer across industries, though logistics domain experience is beneficial.
Multiple mandatory technical and leadership requirements (data platform, MLOps, architecture) make filters strict.
Login to See Your Match Score
Create a free account or log in to unlock your CV match score across:
Lead development and scaling of a global Data and AI platform central to APM Terminals' data and AI innovation.
Hands-on technical leadership including architecture ownership, coding key components, and resolving complex problems.
Design reusable, scalable data models, KPIs, pipelines, and APIs; embed AI for data quality, monitoring, and developer productivity; advance ML/AI Ops capabilities.
Strong background in data engineering with experience designing and operating large-scale data and AI platforms.
Proven leadership managing engineering teams while remaining technically hands-on (architecture, coding).
Experience with cloud-native data architectures, platform engineering, and scalable data system best practices.
Experience with AI/ML systems in production including MLOps/AI Ops for model deployment and monitoring.
Experienced engineering leader capable of balancing hands-on coding and team management at a global scale.
Expertise in modern cloud-native platform architectures and integrating AI into data foundations.
Comfortable working with cross-domain stakeholders to build durable data and AI platform features supporting enterprise-wide innovation.