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About the role
Key Responsibilities System Architecture Support Assist in the design and documentation of distributed, scalable, and secure system architectures. Implement architectural components under the guidance of the Sr. System Architect. Contribute to the development of APIs, microservices, and modular system components. AI/ML Integration Collaborate with AI Engineers to integrate machine learning models into production pipelines. Support deployment of AI/ML workflows on cloud and edge environments. Contribute to establishing best practices in MLOps, monitoring, and feedback loops. Platform Development Integration Work on integrating IoT devices, agricultural databases, and external APIs into ANNAM.AI platforms. Ensure adherence to interoperability, data security, and privacy standards. Contribute to the development of reusable components to accelerate solution deployment. Testing Quality Assurance Implement testing strategies including unit, integration, and regression testing. Support CI/CD pipeline setup and automated testing frameworks. Contribute to system validation, performance benchmarking, and monitoring solutions. Collaboration Team Contribution Work closely with the Sr. System Architect and other engineering leads to align with the overall system vision. Participate in code reviews, technical discussions, and documentation processes. Continuously upskill in modern system architecture practices and contribute to a culture of engineering excellence. Candidate Profile Educational Qualifications Skills Bachelor\/Master\degree in Computer Science, Information Systems, Electrical Engineering, or related disciplines from a reputed institution. Solid understanding of cloud platforms (AWS, Azure, GCP), containerization (Docker, Kubernetes), and microservices. Familiarity with MLOps workflows, big data tools (Spark, Hadoop), and IoT frameworks is desirable. Strong coding and debugging skills with the ability to learn and adapt quickly. Professional Experience Minimum 3 years of professional experience in software development, system design, or platform engineering. Hands-on experience with implementing scalable architectures or contributing to large-scale system deployments. Exposure to cross-functional collaboration with AI/ML and web development teams. Prior experience in agri-tech, IoT-driven platforms, or rural technology deployments will be an advantage. Performance-Based Incentives The System Architect will be eligible for performance-based incentives, subject to periodic reviews and Governing Board approval. Incentives will be outcome-driven and aligned with ANNAM.AI\mission. Separation Clause One monthotice in year one, two months in subsequent years, or salary in lieu. Application Process Submit your application through the Zoho Recruit portal. Subject Line: Application for System Architect \ANNAM.AI Deadline: Applications are reviewed on a rolling basis until the position is filled.
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