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Tier-1 brand and Bangalore metro attract candidates, but senior, specialized data-platform leadership reduces broad applicant density.
Requires domain-specific data platform and MLOps expertise, moderately transferable across industries but favors data-heavy backgrounds.
Strong leadership, deep data-platform and MLOps expertise required, but no explicit years makes filters moderately strict.
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Lead development and scaling of a global Data and AI platform as the core infrastructure for AI innovation across APM Terminals.
Act as a hands-on technical leader responsible for architecture decisions, writing critical code, and solving complex technical challenges alongside the engineering team.
Design reusable and scalable data models, KPIs, pipelines, and APIs; embed AI to automate data quality, monitoring, and improve developer productivity; advance ML/AI Ops capabilities for model lifecycle management.
Strong background in data engineering with experience designing and operating large-scale data and AI platforms.
Proven leadership with experience managing and developing engineering teams while maintaining hands-on technical involvement.
Solid understanding of cloud-native data architectures and platform engineering best practices.
Hands-on experience with AI/ML or data science systems in production including MLOps/AI Ops for model deployment and monitoring.
Operates as a technical engineering leader who balances team management with active coding and architecture ownership.
Experienced in building intelligent, scalable data platforms that integrate AI to enhance automation and data quality.
Skilled at collaborating with product, architecture, and business stakeholders to translate operational and commercial needs into durable platform features.