Assistant Manager | AI Engineer | Bengaluru | Sustainability & Emerging Assurance
DeloitteMatch Score
Against your primary resumeLogin to See Your Match Score
Create a free account or log in to unlock your CV match score across:
Protocol Intelligence
Data-driven signals on your job's competitivenessLog in to see why each signal reads the way it does.
Job Description
Structured overview of role & requirementsAbout This Role
Design, develop, and deploy AI-powered autonomous systems integrating robotics, sensors, and edge computing for real-world physical environments.
Collaborate across robotics, software, hardware, and product teams to build scalable AI models and autonomous decision-making algorithms including navigation and motion control.
Optimize AI models for real-time edge deployment, validate solutions using simulation/digital twins, and improve system performance, reliability, and operational efficiency.
Minimum Requirements
Bachelor's or Master's degree in Computer Science, AI, Robotics, Electronics, Mechatronics, or related discipline.
3–6 years of professional experience in AI, machine learning, robotics, or autonomous systems.
Proficient programming skills in Python and at least one of C++ or Java; experience with ML/DL frameworks such as PyTorch, TensorFlow, or Keras.
Hands-on experience with computer vision, sensor integration, robotics frameworks like ROS/ROS2 and Gazebo, autonomous navigation, and edge device deployment.
Ideal Candidate Profile
Strong domain expertise in AI for robotics, including sensor fusion, autonomous navigation, and real-time edge optimization.
Experienced working in multidisciplinary engineering teams covering robotics, software, and hardware integration.
Familiarity with advanced AI techniques such as reinforcement learning, generative AI for robotics, GPU acceleration, and cloud-based MLOps and CI/CD for model lifecycle management.