Back
Tier-1 brand and Bangalore metro raise competition, but senior, specialized Data & AI leadership reduces density.
High because role demands specialized data architecture, AI/ML engineering, and platform leadership experience.
High due to explicit 10+ years requirement and mandatory data/AI engineering, cloud, and platform experience.
Login to See Your Match Score
Create a free account or log in to unlock your CV match score across:
Lead and manage high-performing engineering teams delivering scalable data products, AI/ML capabilities, analytics foundations, and reliable platforms at Maersk.
Own end-to-end product delivery from prototype to production adoption, including stakeholder collaboration, technical direction, and operational excellence.
Shape pragmatic data architecture and drive engineering governance to build secure, resilient, and production-grade AI/data solutions aligned with enterprise standards.
Minimum 10+ years of technology experience including significant leadership of engineering teams.
Strong expertise in data engineering, data architecture, cloud platforms, AI/ML engineering, and production-grade platform delivery.
Experience with AI-assisted development, engineering automation, DevOps/DataOps, Site Reliability, CI/CD, observability, and incident management.
Bachelor's or Master's degree in Computer Science or Engineering disciplines.
Experienced engineering leader skilled in managing priorities, resource planning, and stakeholder engagement across business and technical teams.
Hands-on technical ability to bridge business problems to technical solutions in data engineering, AI/ML, and cloud platforms with rapid prototyping expertise using AI coding agents.
Strong strategic operator who can guide teams through innovation, delivery scalability, and continuous improvement of data and AI products in complex cross-functional environments.