Qualifications
Key ResponsibilitiesTake ownership of the complete system architecture from data ingestion to real-time analytics and API integration. Design scalable data platforms employing modern lakehouse architecture (Bronze/Silver/Gold layers). Build real-time data pipelines using streaming technologies capable of processing high-volume, low-latency workloads. Implement data fusion strategies to integrate diverse geospatial and telemetry data sources. Lead the creation and deployment of machine learning models for traffic prediction, ETA, anomaly detection, and forecasting. Develop MLOps infrastructure, including feature stores, model deployment, monitoring, and retraining pipelines. Make informed decisions on build vs. buy for infrastructure, tools, and platforms. Establish frameworks for multi-tenancy, security, and governance for both enterprise and public sector use. Promote engineering best practices across code quality, testing, CI/CD, and observability. Work collaboratively with cross-functional teams to ensure alignment of architecture with business objectives. Mentor senior engineers and guide key technical decisions throughout the organization. Serve as the technical representative in discussions with customers, during architecture reviews, and in solution design sessions.
About the job
Weekday's Client is seeking a Lead Engineering Manager to guide the creation of an AI-powered traffic intelligence platform. This role is based in Gurugram, Haryana, India.
What You Will Do
- Direct the end-to-end design and development of a scalable, real-time traffic intelligence system.
- Shape the technical vision for the platform, making key architectural decisions.
- Work closely with teams to blend data analytics, machine learning, and geospatial intelligence into a unified enterprise solution.
- Take a hands-on approach to building and refining the platform to support large-scale, reliable deployments.
Who We’re Looking For
- Experience as a Chief Architect or similar senior engineering leadership role.
- Proven track record designing and delivering complex, enterprise-grade systems.
- Strong background in data analytics, machine learning, and geospatial technologies.
- Ability to set technical direction and ensure high performance and reliability.
Compensation
Salary range: Rs 5,000,000 – Rs 12,000,000 (INR 50–120 LPA)