Senior IoT Programmer/Engineer – Edge ML & Modbus TCP Gateway (Edge Impulse, Grafana with InfluxDB) Summary We are seeking an expert IoT Developer to build a production-grade, air-gapped Predictive Maintenance gateway. The system must collect high-frequency vibration data from 19 industrial wireless sensors via Modbus TCP, process it using a local Edge AI model, and manage the fleet via a self-hosted ThingsBoard CE server. Strict Constraint: No cloud-native dependencies (AWS/Azure/Google) are permitted for data storage or processing. All data must reside on local infrastructure. Key Deliverables: 1) Gateway Configuration Portal (Custom Web UI): Build a local web-based interface (Flask/FastAPI) hosted on the Raspberry Pi. This portal must allow a non-technical user to configure Sensor IPs, Modbus Registers, and ThingsBoard Credentials via a browser—no CLI/Linux terminal access required. 2) Modbus & ML Engine: Implement a high-performance asynchronous Modbus TCP master and integrate an Edge Impulse C++ SDK for local anomaly detection. 3) Local Data Orchestration: Deploy and configure a local ThingsBoard CE instance (via Docker) to act as the central on-premise management hub. 4) Industrial Logging (InfluxDB): Set up a local InfluxDB instance with a defined Retention Policy (Raw data for 7 days, aggregated for 90) to prevent SSD overflow. 5) Hardware Optimization: Configure the system for 24/7 reliability on a Raspberry Pi 5 with an NVMe SSD, including a hardware watchdog and RAM-buffered writing. Technical Requirements: Protocols: Industrial Modbus TCP/IP, MQTT. Platforms: ThingsBoard CE (Self-hosted), Edge Impulse, Docker-Compose. Languages: Python (AsyncIO) or C++ for the edge runtime. Database: InfluxDB with time-series optimization.