Python – IoT – Machine Learning – AI Engineer

Role & Responsibilities: Python Development: Design, develop, and maintain Python applications for data processing and automation Handle real-time sensor data processing and analytics Develop REST APIs and backend services Implement TCP/IP, UDP, and HTTP-based communication systems Optimize code for performance and reliability IoT & Embedded Systems: Integrate and manage IoT devices and sensors (IMU, GPS, LiDAR, Cameras, etc.) Work with ESP32, Arduino, and Raspberry Pi platforms Implement real-time data streaming and logging solutions Debug hardware–software integration issues Support field deployment and testing activities Machine Learning: Develop, train, and evaluate machine learning models Perform data preprocessing, feature engineering, and model optimization Analyse time-series and sensor-based datasets Deploy ML models for real-time or batch inference Artificial Intelligence / Computer Vision: Implement AI and computer vision algorithms for image and video analytics Work on object detection, segmentation, and tracking models Use frameworks such as PyTorch, TensorFlow, or YOLO-based models Optimize inference pipelines for CPU/GPU/edge devices System Integration & R&D: Perform end-to-end integration of multi-sensor systems Conduct system calibration, testing, and performance validation Prepare technical documentation and analysis reports Collaborate with cross-functional hardware and software teams Required Skills: Programming & Software Strong proficiency in Python (mandatory) Experience with NumPy, Pandas, OpenCV Understanding of software architecture and modular design Basic knowledge of C/C++ (preferred) IoT & Hardware Experience with ESP32 / Arduino / Raspberry Pi Familiarity with sensors and data acquisition systems Communication protocols: TCP/IP, UDP, MQTT, Serial Basic understanding of ADC, I2C, SPI, and power management Machine Learning & AI Solid understanding of ML algorithms and workflows Hands-on experience with ML/DL frameworks (PyTorch / TensorFlow) Experience in training, evaluating, and deploying models Computer Vision experience is a strong plus Databases & Tools Experience with SQL / SQLite and CSV-based data storage Git and version control systems Experience working on Linux and Windows environments Good to Have (Preferred Skills) Experience with real-time or edge AI systems Knowledge of Flask / FastAPI for backend services Exposure to industrial, automotive, or railway systems Experience with cloud platforms or MLOps tools Educational Qualification B.E / B.Tech / M.Tech / M.Sc in Computer Science, IT, Electronics, or related fields Strong practical experience preferred over academic background Key Attributes Strong problem-solving and debugging skills Ability to work independently and in teams Passion for building real-world, production-grade systems Research and innovation-oriented mindset