Experienced AI/ML & Python Backend Engineer (Industrial IoT)

Job description:
Role Overview
We are looking for an AI/ML & Python Backend Engineer with strong experience in time-series analytics, machine learning, industrial IoT, and real-time data processing. The role involves developing ML solutions for industrial equipment monitoring, anomaly detection, forecasting, predictive maintenance, and operational analytics. The candidate will also build scalable Python/FastAPI backend services and integrate ML models with Azure cloud and data services.
Key Responsibilities
Analyze time-series, telemetry, sensor, and industrial equipment data to identify trends, anomalies, and performance patterns.
Develop and deploy ML models for anomaly detection, regression, forecasting, predictive maintenance, and equipment health monitoring.
Perform feature engineering, model evaluation, optimization, and model deployment using Python and ML frameworks.
Develop scalable FastAPI-based REST APIs for ML models and data services.
Implement real-time communication and asynchronous processing using WebSockets and Python.
Design and integrate data pipelines for collecting, processing, and transforming industrial data.
Integrate solutions with Azure services, Azure SQL/PostgreSQL, Azure ML, and other cloud data platforms.
Support Power BI dashboards and data visualization for operational and analytical insights.
Work with industrial IoT protocols and systems such as MQTT, OPC UA, Modbus, and SCADA.
Containerize and deploy applications using Docker and DevOps practices.
Collaborate with data engineers, software developers, and domain teams to deliver scalable industrial analytics solutions.
Required Skills and Qualifications
Strong programming experience in Python with hands-on experience in FastAPI, REST APIs, JSON, SQL, and asynchronous programming.
Strong understanding of Machine Learning, scikit-learn, feature engineering, and model evaluation.
Hands-on experience with time-series analytics, forecasting, anomaly detection, regression, and predictive maintenance.
Experience working with sensor, telemetry, industrial IoT, or equipment data.
Knowledge of Azure services, Azure SQL/PostgreSQL, Azure OpenAI, and cloud-based data engineering concepts.
Experience with data visualization and Power BI.
Familiarity with React, Git, Docker, and CI/CD/DevOps practices.
Good understanding of API authentication and real-time data communication.
Knowledge of Azure Machine Learning, Azure IoT Hub, Azure Data Factory, or Synapse Analytics is an advantage.
Exposure to MQTT, OPC UA, Modbus, SCADA, Digital Twin concepts, React, and WebSockets is a plus.
Experience in industrial energy systems or predictive maintenance solutions will be preferred.
Ability to commute/relocate:
Kovilpatti, Tamil Nadu: Reliably commute or plan to relocate before starting work (Required)

Work arrangement
No