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