AI ML + Robotics

Infosys

Hyderabad, Bengaluru, Mumbai

On-site

INR 900,000 - 1,500,000

Full time

3 days ago
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Job summary

Infosys in India is seeking an AI/ML Robotics Engineer (AMR, ROS/ROS2) to design intelligent robotic solutions for navigation, perception, and automation across industrial and logistics domains.

You will develop AI/ML models, implement SLAM/localization, and path planning, and deploy on edge devices with ROS/ROS2. Collaboration with software, hardware, and AI teams is expected.

Qualifications

  • Proficient Python programming across ML/AI libraries.
  • Hands-on experience with PyTorch, TensorFlow, Keras, and Scikit-Learn.
  • Proven ROS/ROS2 development experience for AMR/robotics.
  • Strong knowledge of SLAM, localization, mapping, and path planning.
  • Experience with computer vision using OpenCV.
  • Experience with Linux/Ubuntu environments and edge deployment.
  • Familiarity with sensor fusion and autonomous navigation.

Responsibilities

  • Design AI/ML-powered robotics applications.
  • Develop perception, navigation, and autonomous decision-making.
  • Implement localization, SLAM, and obstacle avoidance.
  • Integrate sensors (LiDAR, Camera, IMU, GPS) and actuation.
  • Collaborate with software, hardware, and AI teams.
  • Prepare simulations and field tests; support deployment.

Skills

Python
AI/ML/DL
Robotics
AMR/Autonomous Systems
ROS/ROS2
Computer Vision
OpenCV
Sensor Fusion
Localization/SLAM
Linux/Ubuntu
Edge deployment

Education

Bachelor's or Master's degree in Computer Science, AI, Robotics, Electronics, Mechatronics

Tools

PyTorch
TensorFlow
Keras
Scikit-Learn
Gazebo
RViz
MoveIt
Isaac Sim
Webots
NVIDIA Jetson

Job description

Job Description AI/ML Robotics Engineer (AMR, ROS, Autonomous Systems)

Experience: 1 to 15 Years


Role Overview

We are looking for passionate AI/ML Robotics Engineers with expertise in Artificial Intelligence (AI), Machine Learning (ML), Deep Learning (DL), Python, Robotics, Autonomous Mobile Robots (AMR), ROS/ROS2, and Autonomous Systems. The ideal candidate will design and develop intelligent robotic solutions for navigation, perception, decision-making, and automation across industrial, logistics, warehouse, and autonomous mobility domains.

Key Responsibilities
  • Design and develop AI/ML-powered robotics applications.
  • Build computer vision, perception, and autonomous navigation solutions.
  • Develop and deploy Machine Learning and Deep Learning models for robotic systems.
  • Implement robotic software using ROS/ROS2 frameworks.
  • Develop localization, mapping (SLAM), path planning, and obstacle avoidance algorithms.
  • Integrate sensors including LiDAR, Camera, IMU, GPS, Radar, and Ultrasonic Sensors.
  • Develop autonomous decision-making and control systems for AMRs and AGVs.
  • Optimize AI models for edge devices and real-time robotic applications.
  • Conduct simulations, field testing, debugging, and deployment.
  • Collaborate with multidisciplinary teams across software, hardware, and AI engineering.

Required Skills
  • Strong programming experience in Python.
  • Good understanding of Artificial Intelligence, Machine Learning, and Deep Learning.
  • Experience with PyTorch, TensorFlow, Keras, Scikit-Learn.
  • Hands‑on experience with ROS/ROS2.
  • Knowledge of Robotics Fundamentals, Kinematics, and Motion Planning.
  • Understanding of Autonomous Mobile Robots (AMR) and Autonomous Systems.
  • Experience with Computer Vision and OpenCV.
  • Knowledge of Sensor Fusion, Localization, and SLAM.
  • Familiarity with Linux/Ubuntu environments.
  • Understanding of cloud and edge deployment concepts.
Preferred Skills
  • Experience in Warehouse Automation, Industrial Robotics, or Autonomous Vehicles.
  • Exposure to Gazebo, RViz, MoveIt, Isaac Sim, or Webots.
  • Experience with NVIDIA Jetson, Edge AI devices.
  • Knowledge of Docker, Git, CI/CD, and MLOps.
  • Understanding of Reinforcement Learning and Agentic AI concepts.
Educational Qualifications
  • Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Robotics, Electronics, Mechatronics, or related field.
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