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Strong global brand, Bangalore metro, generalist AI/ML platform role with broad skillset increases applicant density.
Skills are transferable across industries but require specialized ML/platform experience, so moderately sensitive.
No explicit years but requires deep ML, data engineering and MLOps experience, raising filter rigidity.
Lead development of a global Data and AI platform supporting innovation across APM Terminals, owning architecture decisions and coding key components.
Design scalable shared data models, KPIs, pipelines, and APIs to enable faster innovation and inject AI for data quality, automation, and developer productivity.
Advance ML/AI Ops capabilities and empower teams with trusted data and production-ready infrastructure while mentoring an engineering team.
Deep engineering experience in data engineering with large-scale data and AI platform design and operation.
Proven leadership experience managing and developing engineers while maintaining hands-on technical involvement (architecture, code reviews, coding).
Hands-on experience with AI/ML or data science systems in production, including MLOps/AI Ops practices for deployment and monitoring.
Work Experience Required: Not explicitly mentioned in the JD.
Experienced technical leader comfortable balancing hands-on engineering with team leadership and mentorship.
Strong expertise in modern cloud-native data architectures, platform engineering, and building scalable, robust data systems.
Practical knowledge of AI/ML applications, automation, and intelligent solutions applied to improve data quality and operational productivity.