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Director, Data & ML Platform
CrowdStrikeIndia - BangalorePosted 20 May 2026
Job Description
As a global leader in cybersecurity, CrowdStrike protects the people, processes and technologies that drive modern organizations. Since 2011, our mission hasn’t changed — we’re here to stop breaches, and we’ve redefined modern security with the world’s most advanced AI-native platform. We work on large scale distributed systems, processing almost 3 trillion events per day and this traffic is growing daily . Our customers span all industries, and they count on CrowdStrike to keep their businesses running, their communities safe and their lives moving forward. We’re also a mission-driven company. We cultivate a culture that gives every CrowdStriker both the flexibility and autonomy to own their careers. We’re always looking to add talented CrowdStrikers to the team who have limitless passion, a relentless focus on innovation and a fanatical commitment to our customers, our community and each other. Ready to join a mission that matters? The future of cybersecurity starts with you.
About the Role:
The charter of the Data ML/GenAI Platform team is to harness all the data that is ingested and cataloged within the Data LakeHouse for exploration, insights, model development, ML model development lifecycle, ML engineering, and Insights Activation. This team is situated within the larger Data Platform group, which serves as one of the core pillars of our company. We process data at a truly immense scale. The data sets we process are composed of various facets including telemetry data, associated metadata, IT asset information, contextual formation about threat exposure, and many more. These facets comprise the overall data platform, which is currently over 500 PB and maintained in a hyper scale Data Lakehouse.
We are seeking a strategic and technically savvy leader to head our Data and ML Platform team. As the head, you will be responsible for defining and building our ML Experimentation Platform from the ground up, while scaling our data and ML infrastructure to support various roles including Data Platform Engineers, Data Scientists and Threat Analysts. Your key responsibilities will involve overseeing the design, implementation, and maintenance of scalable ML pipelines for data preparation, cataloging, feature engineering, model training, model serving, and in-field model performance monitoring. These efforts will directly influence critical business decisions. In this role, you'll foster a production-focused culture that effectively bridges the gap between model development and operational success. Furthermore, you'll be at the forefront of spearheading our ongoing Generative AI investments. The ideal candidate for this position will combine strategic vision with hands-on technical expertise in machine learning and data infrastructure, driving innovation and excellence across our data and ML initiatives. We have a team based in Bengaluru, India and this leader will help us expand the team, while also charting its explosive growth towards an AI-powered platform for ML development.
What You’ll Do:
Strategic Leadership
Define the vision, strategy and roadmap for the organization’s data and ML platform to align with critical business goals.
Help design, build, and facilitate adoption of a modern DataML/Gen AI platform
Stay updated on emerging technologies and trends in data platform, ML Ops and AI/ML
Team Management
Build a team of Data and ML Platform engineers and work effectively with a team distributed across the US and India
Foster a culture of innovation and strong customer commitment for both internal and external stakeholders
Platform Development
Oversee the design and implementation of a platform containing data pipelines, feature stores and model deployment frameworks.
Experience leveraging Agentic/GenAI technologies to speed up SDLC from months to weeks without compromising on code quality
Develop and enhance ML Ops practices to streamline model lifecycle Management from development to production.
Data Gover ... (truncated, view full listing at source)
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