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Client's business problem to solve?
NTT Data Innovation Center is looking for brilliant minds to join our mission of building next-gen technology that solves real-world problems across industries.We’re creating bold, disruptive solutions—powered by AI, quantum-inspired systems, robotics, and more—to transform supply chains, healthcare, energy, manufacturing, and beyond.
If you thrive on pushing boundaries, shipping impactful products, and shaping the future, this is your team.
Join us to build what’s next.let’s talk!
Position's General Duties and Tasks
In these roles you will be responsible for:
• Assist in designing and developing AI models for real-world physical systems.
• Work on computer vision applications such as object detection, defect detection, tracking, and pose estimation.
• Integrate AI models with hardware systems including cameras, sensors, robotic arms, and edge devices.
• Support development of sensor fusion systems combining data from LiDAR, cameras, IMUs, and IoT sensors.
• Build and test autonomous workflows for inspection, monitoring, and predictive maintenance.
• Work on simulation environments and Digital Twin models for training and testing AI systems.
• Collaborate with software, embedded, and hardware teams for end-to-end deployment.
• Perform model optimization for edge deployment (low latency inference).
• Document experiments, results, and implementation workflows.
Skills Required:
• Basic understanding of Artificial Intelligence / Machine Learning / Deep Learning
• Knowledge of Python programming
• Familiarity with libraries like PyTorch, TensorFlow, or OpenCV
• Understanding of Computer Vision fundamentals
• Basics of Robotics, Control Systems, or Embedded Systems
• Knowledge of Sensors (Camera, IMU, LiDAR, Ultrasonic, etc.)
• Understanding of data preprocessing and model training
• Basic Linux and Git knowledge.
Basic Qualifications:
• B.E / B.Tech in Computer Science, AI/ML, Electronics, Robotics, Mechatronics, Instrumentation, or related fields
You'll no longer be considered for this role and your application will be removed from the employer's inbox.