Job
Description
As a skilled IoT Architect, you will play a crucial role in designing and implementing a scalable and resilient IoT platform architecture for our client based in Gurugram. Your primary responsibilities will include the following: - IoT Platform Architecture and Design: - Design a scalable IoT platform incorporating device management, data engineering, data-driven intelligence, and remote device control capabilities. - Ensure the security and privacy of the IoT platform, adhering to industry best practices and regulatory standards. - Integrate the IoT platform seamlessly with existing enterprise systems such as ERP, CRM, and SCM. - Hardware and Device Management: - Develop robust device management capabilities, including provisioning, configuration, and monitoring. - Implement real-time device health monitoring and anomaly detection for proactive issue resolution. - Provide guidance on hardware implementation and share best practices and templates. - Data Engineering and Analytics: - Create robust data pipelines for ingesting, processing, and storing IoT data. - Ensure data quality and consistency through cleaning, validation, and normalization. - Implement real-time data processing and analytics to derive actionable insights. - Generate insightful visualizations and reports for stakeholder communication. - Machine Learning and AI: - Develop, train, and deploy machine learning models for valuable insights from IoT data. - Implement edge AI solutions for local data processing on IoT devices, reducing latency and enhancing efficiency. - Monitor model performance, retrain models as needed, and address performance degradation. - DevOps and Reusability: - Implement CI/CD pipelines for automating build, test, and deployment processes. - Utilize infrastructure as code principles to automate infrastructure provisioning and management. - Leverage containerization and orchestration technologies like Docker and Kubernetes for deployment and management. - Continuous Learning and Innovation: - Stay updated with the latest IoT technologies, cloud computing, and machine learning advancements. - Encourage innovation and experimentation for developing industry-first features. - Foster collaboration, knowledge sharing, and a culture of continuous learning within the team and organization. - Team Leadership and Mentorship: - Lead and mentor a team of talented engineers to deliver high-quality solutions. - Foster innovation, continuous learning, and collaboration within the team. - Collaborate effectively with cross-functional teams for successful project outcomes. If you are ready to take on this challenging role and contribute to the advancement of IoT technologies in a dynamic environment, this opportunity is ideal for you. Join our client in Gurugram and be a part of a forward-thinking organization committed to innovation and excellence. As a skilled IoT Architect, you will play a crucial role in designing and implementing a scalable and resilient IoT platform architecture for our client based in Gurugram. Your primary responsibilities will include the following: - IoT Platform Architecture and Design: - Design a scalable IoT platform incorporating device management, data engineering, data-driven intelligence, and remote device control capabilities. - Ensure the security and privacy of the IoT platform, adhering to industry best practices and regulatory standards. - Integrate the IoT platform seamlessly with existing enterprise systems such as ERP, CRM, and SCM. - Hardware and Device Management: - Develop robust device management capabilities, including provisioning, configuration, and monitoring. - Implement real-time device health monitoring and anomaly detection for proactive issue resolution. - Provide guidance on hardware implementation and share best practices and templates. - Data Engineering and Analytics: - Create robust data pipelines for ingesting, processing, and storing IoT data. - Ensure data quality and consistency through cleaning, validation, and normalization. - Implement real-time data processing and analytics to derive actionable insights. - Generate insightful visualizations and reports for stakeholder communication. - Machine Learning and AI: - Develop, train, and deploy machine learning models for valuable insights from IoT data. - Implement edge AI solutions for local data processing on IoT devices, reducing latency and enhancing efficiency. - Monitor model performance, retrain models as needed, and address performance degradation. - DevOps and Reusability: - Implement CI/CD pipelines for automating build, test, and deployment processes. - Utilize infrastructure as code principles to automate infrastructure provisioning and management. - Leverage containerization and orchestration technologies like Docker and Kubernetes for deployment and management. - Continuous Learning and Innovation: - Stay updated with th
