 
						AI, ML
18 hours ago
Position : AI/ML & Robotics Automation Engineer Industrial Automation 
 Location: Bangalore (On-Site) 
 Experience Level: years in Industrial IoT 
 Employment Type: Full-time
About Citriot 
Citriot is a pioneering deep tech company specializing in Industrial Internet of Things (IIoT), Computer Vision, AI/ML, and Industrial Automation. We develop cutting-edge solutions for predictive maintenance, equipment monitoring, and anomaly detection across automotive, oil & gas, pharmaceuticals, chemicals, metals, and manufacturing industries.
Citriot is revolutionizing industrial operations through deep tech convergence of IIoT, AI/ML, Computer Vision, and Industrial Automation. Our solutions enable predictive maintenance and intelligent automation across diverse manufacturing sectors.
Position Overview 
 We are seeking a talented AI/ML Engineer and Robotics Automation Engineer to design, develop, and deploy machine learning models and robotic automation systems for industrial automation applications. You will work on challenging problems involving predictive analytics, computer vision, intelligent automation systems, autonomous robotics, and collaborative industrial solutions.
Key Responsibilities
AI/ML Responsibilities: 
 Design and develop AI/ML models for predictive maintenance, anomaly detection, and equipment 
 monitoring 
 Implement computer vision solutions for quality inspection, defect detection, and visual surveillance 
 Build and optimize deep learning models (CNN, RNN, LSTM, Transformers) for industrial applications 
 Develop time-series analysis and forecasting models for sensor data from IIoT devices 
 Deploy ML models on edge devices and cloud infrastructure with scalability considerations 
 Integrate AI/ML solutions with existing IIoT platforms and industrial automation systems 
 Collaborate with robotics and automation teams to implement intelligent control systems 
 Perform data preprocessing, feature engineering, and model validation on industrial datasets 
 Monitor model performance in production and implement continuous improvement strategies 
 Document technical specifications, model architectures, and deployment procedures
Robotics Responsibilities: 
 Design and develop robotic automation systems for industrial applications 
 Implement robot control algorithms and motion planning systems 
 Integrate computer vision and AI/ML models with robotic systems for intelligent decision-making 
 Develop autonomous navigation and obstacle avoidance solutions 
 Program and configure industrial robots (6-axis arms, collaborative robots, AGVs/AMRs) 
 Design and implement robotic end-effectors and custom gripper mechanisms 
 Integrate sensors (LiDAR, cameras, force/torque sensors) with robotic systems 
 Develop simulation environments for robot testing and validation 
 Implement safety protocols and fail-safe mechanisms for human-robot collaboration 
 Collaborate with AI/ML teams to deploy perception and decision-making models on robots 
 Optimize robot trajectories and cycle times for manufacturing efficiency 
 Provide technical support for deployed robotic systems and troubleshoot issues
Required Qualifications  
 Bachelor's or Master's degree in Computer Science, Data Science, Electrical Engineering, Robotics, Mechatronics, or related field 
 2-5 years of hands-on experience in AI/ML development or robotics/automation engineering (freshers with exceptional skills may be considered) 
 Strong proficiency in Python and ML frameworks (TensorFlow, PyTorch, Scikit-learn, Keras) 
 Experience with computer vision libraries (OpenCV, PIL, YOLO, ResNet) 
 Strong knowledge of robotics fundamentals: kinematics, dynamics, control theory 
 Experience with robot programming (ROS/ROS2, Python, C++) 
 Proficiency in motion planning and path optimization algorithms 
 Solid understanding of machine learning algorithms, deep learning architectures, and statistical methods 
 Experience with industrial robots (ABB, KUKA, Fanuc, Universal Robots) or mobile robots 
 Knowledge of computer vision integration for robotic perception 
 Experience with data preprocessing, feature engineering, and model optimization techniques 
 Knowledge of MLOps practices and tools (MLflow, Kubeflow, Docker, Kubernetes) 
 Familiarity with cloud platforms (AWS, Azure, GCP) and edge computing 
 Understanding of control systems (PID, MPC, adaptive control) 
 Experience with simulation tools (Gazebo, CoppeliaSim, MATLAB/Simulink) 
 Strong programming skills and understanding of data structures and algorithms
Preferred Qualifications 
 Experience in industrial automation, manufacturing, or process industries 
 Knowledge of IIoT protocols (MQTT, OPC-UA, Modbus) and sensor integration 
 Experience with edge AI deployment on devices like NVIDIA Jetson, Raspberry Pi, or industrial controllers 
 Familiarity with time-series databases (InfluxDB, TimescaleDB) and real-time analytics 
 Experience with reinforcement learning for control systems 
 Understanding of industrial processes and maintenance practices 
 Publications or contributions to AI/ML open-source projects 
 Knowledge of explainable AI (XAI) and model interpretability techniques 
 Experience with collaborative robots (cobots) and human-robot interaction 
 Knowledge of AI/ML integration with robotic systems 
 Experience with SLAM, sensor fusion, and autonomous navigation 
 Familiarity with industrial automation protocols (PLC, SCADA, OPC-UA) 
 Experience in manufacturing environments (automotive, electronics, logistics) 
 Knowledge of mechanical design and CAD tools (SolidWorks, AutoCAD) 
 Experience with embedded systems and real-time operating systems 
 Familiarity with IIoT integration and Industry 4.0 concepts 
 Certification in industrial robot programming or safety
Technical Skills 
AI/ML Technical Skills: 
 Languages: Python, C++, Java, SQL 
 ML Frameworks: TensorFlow, PyTorch, Scikit-learn, Keras, XGBoost 
 Computer Vision: OpenCV, YOLO, Mask R-CNN, ResNet, EfficientNet 
 Tools: Jupyter, Git, Docker, Kubernetes, Apache Spark 
 Databases: PostgreSQL, MongoDB, InfluxDB, Redis 
 Cloud: AWS SageMaker, Azure ML, Google Cloud AI Platform
Robotics Technical Skills: 
 Robotics: ROS/ROS2, MoveIt, Navigation Stack, TF, URDF 
 Programming: Python, C++, MATLAB, LabVIEW 
 Simulation: Gazebo, CoppeliaSim, V-REP, MATLAB/Simulink 
 Computer Vision: OpenCV, PCL (Point Cloud Library) 
 Control Systems: PID tuning, state-space control, trajectory planning 
 Hardware: LiDAR, depth cameras, IMU, encoders, actuators 
 Tools: Git, Docker, Linux, CMake 
 Protocols: Modbus, Ethernet/IP, OPC-UA, MQTT
Join our team to drive innovation and transform the manufacturing and facility management landscape with IoT and AI
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