Head of Data & ML Platform & Engineering Site Lead
- Crowdstrike
- 10 - 15 years
- Bengaluru
- 2 months ago
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Job Description
- 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 are building this team with ownership at Bengaluru, India, this leader will help us boot strap the entire site, starting with this team
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 Data+ML 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 from a small footprint across multiple geographies
- 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.
- Develop and enhance ML Ops practices to streamline model lifecycle Management from development to production.
Data Governance
- Institute best practices for data security, compliance and quality to ensure safe and secure use of AI/ML models.
Stakeholder engagement
- Partner with product, engineering and data science teams to understand r equirements and translate them into platform capabilities.
- Communicate progress and impact to executive leadership and key stakeholders.
Operational Excellence
- Establish SLI/SLO metrics for Observability of the Data and ML Platform along with alerting to ensure a high level of reliability and performance.
- Drive continuous improvement through data-driven insights and operational metrics.
What you'll Need:
- B.S. in Computer Science, Data Science, Statistics, Applied Mathematics, or a related field and 10+ years related experience; or M.S. with 8+ years of experience; or Ph.D with 6+ years of experience.
- 10+ years experience in data engineering, ML platform development, or related fields with at least 5 years in a leadership role.
- Familiarity with typical machine learning algorithms from an engineering perspective; familiarity with supervised / unsupervised approaches: how, why and when labeled data is created and used.
- Knowledge of ML Platform tools like Jupyter Notebooks, NVidia Workbench, MLFlow, Ray, Vertex AI, etc
- Experience with modern ML Ops platforms such as MLFLow, Kubeflow or SageMaker preferred. Experience in data platform product(s) and frameworks like Apache Spark, Flink or comparable tools in GCP and orchestration technologies (eg Kubernetes, Airflow). Experience with Apache Iceberg is a plus.
- Deep understanding of machine learning workflows, including model training, deployment and monitoring.
- Familiarity with data visualization tools and techniques.
- Experience with boot strapping new teams and growing them to make a large impact.
- Experience operating as a site lead within a company will be a bonus.
- Exceptional interpersonal and communication skills. Work with stakeholders across multiple teams and synthesize their needs into software interfaces and processes.
Benefits of Working at CrowdStrike:
- Remote-friendly and flexible work culture
- Market leader in compensation and equity awards
- Comprehensive physical and mental wellness programs
- Competitive vacation and holidays for recharge
- Paid parental and adoption leaves
- Professional development opportunities for all employees regardless of level or role
- Employee Resource Groups, geographic neighbourhood groups and volunteer opportunities to build connections
- Vibrant office culture with world class amenities
- Great Place to Work Certified across the globe
Job Classification
Industry: Hardware & NetworkingFunctional Area / Department: Data Science & AnalyticsRole Category: Data Science & Machine LearningRole: Data Science & Machine Learning - OtherEmployement Type: Full timeContact Details:
Company: CrowdstrikeLocation(s): Bengaluru+ View Contact
Keyskills: Stakeholder Engagement Operational excellence Team management Machine learning Equity Continuous improvement Operations Monitoring Recruitment
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Crowdstrike
CrowdStrike_x001A_ is the leader in next-generation endpoint protection, threat intelligence and response services. CrowdStrike_x001A_s core technology, the Falcon platform, stops breaches by preventing and responding to all types of attacks _x001A_ both malware and malware-free.
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