Posted:2 months ago| Platform:
Work from Office
Full Time
We are looking for a Software Architect who brings the best of both worlds AI/ML expertise and application architecture to build and scale intelligent IIoT systems. Youll be at the forefront of designing smart, cloud-connected, data-driven applications that process real-time sensor data and deliver actionable insights through web and mobile platforms. Role & responsibilities Architect full-stack software solutions across web, mobile, and cloud platforms for our IIoT ecosystem. Design and guide AI/ML systems for anomaly detection, predictive maintenance, and energy optimization. Lead end-to-end lifecycle of ML models data collection, training, evaluation, deployment, and monitoring (both cloud & edge). Work closely with hardware and data science teams to ensure seamless flow from sensor to actionable insight. Build scalable, secure, and modular architectures using microservices and event-driven patterns. Select appropriate tech stacks and tools for application and AI pipelines. Define and enforce best practices in software design, code quality, and DevOps. Mentor and support engineering teams in execution and technical decision-making. Ensure the system is performant, reliable, and aligned with business goals. Preferred candidate profile AI/ML: Proven experience in building and deploying ML models using frameworks like TensorFlow, PyTorch, or Scikit-learn. Strong understanding of model architecture, tuning, and lifecycle management. Application Architecture: Hands-on experience designing and implementing scalable web/mobile applications (React, Angular, Flutter, etc.) and backend services (Node.js, Python, Go). Cloud & DevOps: Practical expertise with AWS, Azure, or GCP including containers (Docker, Kubernetes), CI/CD, and serverless architecture. IoT & Sensor Data: Familiar with IIoT protocols (MQTT, Modbus, OPC-UA), edge computing, and real-time analytics pipelines. Databases: Strong grasp of SQL databases. Security: Understanding of software and data security best practices. Soft Skills: Strong problem-solving, communication, and mentoring skills.
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