Assistant Manager | AI Engineer | Bengaluru | Sustainability & Emerging Assurance

You will

• Design and develop AI-powered systems that interact with the physical world through robots, sensors, cameras, and connected devices.
• Collaborate with robotics, software, hardware, and product engineering teams to build intelligent, autonomous, and real-time AI solutions.
• Develop scalable AI models and autonomous systems that leverage computer vision, sensor fusion, machine learning, and edge computing to solve real-world challenges.

Responsibilities

• Design, develop, and deploy AI models for robotics and real-world physical systems.
• Build perception systems using computer vision, deep learning, and sensor fusion techniques.
• Develop autonomous decision-making, navigation, path planning, and motion control algorithms.
• Integrate cameras, LiDAR, IMUs, GPS, and other sensors into AI-driven systems.
• Develop and validate AI models using simulation environments and digital twins.
• Implement machine learning, deep learning, and reinforcement learning solutions for autonomous operations.
• Optimize AI models for edge devices and real-time deployment.
• Collaborate with cross-functional teams across robotics, software, hardware, and product engineering.
• Evaluate system performance and improve reliability, scalability, safety, and operational efficiency.
• Participate in architecture reviews, testing, debugging, troubleshooting, and production deployments.
• Create and maintain technical documentation, deployment procedures, and engineering best practices.

Qualifications

• Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Robotics, Electronics, Mechatronics, or a related discipline.
• 3–6 years of experience in AI, Machine Learning, Robotics, Autonomous Systems, or related domains.
• Strong programming skills in Python and at least one of C++ or Java.
• Hands-on experience with machine learning and deep learning frameworks such as PyTorch, TensorFlow, and Keras.
• Strong experience in computer vision techniques including Object Detection, Image Classification, Instance Segmentation, Pose Estimation, and Visual SLAM.
• Experience working with robotics frameworks such as ROS/ROS2, Gazebo, and Isaac Sim.
• Strong understanding of sensor integration, sensor fusion, autonomous navigation, path planning, and motion control.
• Experience developing AI solutions for edge devices and familiarity with Linux-based development environments.
• Knowledge of Git, Agile development methodologies, and software engineering best practices.
• Experience with Generative AI for robotics, Reinforcement Learning, Multi-Agent Systems, NVIDIA Jetson, Isaac Platform, CUDA, GPU acceleration, and model optimization is preferred.
• Exposure to cloud platforms such as Azure, AWS, or Google Cloud, along with MLOps, CI/CD pipelines, and model lifecycle management is desirable.
• Experience in Industrial Robotics, Autonomous Mobile Robots (AMR), Warehouse Automation, Autonomous Vehicles, Smart Manufacturing, Drones/UAVs, Smart Cities, IoT, or Healthcare Robotics is an advantage.
• Excellent analytical, problem-solving, communication, collaboration, and troubleshooting skills with a strong ownership mindset and passion for AI and robotics technologies.