AI / ML Engineer - Intelligent Robotics

About the role

CMSN Group is developing Sokina AI, an intelligent robotics platform combining artificial intelligence, computer vision, edge computing, IoT and autonomous robotics to transform facility management and commercial cleaning. It is looking for an AI / Machine Learning Engineer in Sydney to help build next-generation intelligent robotic systems.

Key responsibilities

• Design, develop and deploy machine learning models for real-world robotics.
• Develop computer vision algorithms for object detection, segmentation, pose estimation and scene understanding.
• Train and optimise deep learning models with PyTorch or TensorFlow.
• Build AI pipelines for edge devices and embedded hardware, and develop perception systems using RGB, depth cameras and LiDAR.
• Work with robotics frameworks such as ROS2, and implement reinforcement learning and autonomous navigation algorithms.
• Use multimodal AI to improve robot decision-making and optimise inference with TensorRT, ONNX or OpenVINO.
• Collaborate with robotics, software and cloud engineers and bring the latest AI innovations into production.

Required profile

• Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Robotics, Data Science or a related field.
• 3+ years of experience developing AI/ML solutions.
• Strong Python programming skills.
• Experience with computer vision techniques such as object detection, image segmentation, OCR, SLAM, tracking and pose estimation.
• Experience working with Linux; familiarity with Docker and Git.
• Strong mathematics in linear algebra, probability, statistics and optimisation.

Required skills

• PyTorch, TensorFlow, OpenCV, NumPy, Scikit-Learn
• Nice to have: ROS / ROS2, reinforcement learning, generative AI / vision-language models, NVIDIA Jetson, CUDA, TensorRT, ONNX, LiDAR processing, edge computing, Gazebo / Isaac Sim, AWS or Azure AI services

What we offer

• Work on cutting-edge AI robotics products and the chance to build commercial autonomous robots from the ground up.
• Flexible working arrangements and career growth in AI, robotics and intelligent automation.
• Support for research, conferences and continuous learning.
• Competitive salary based on experience, and the opportunity to contribute to patents, publications and innovative AI products.

To apply, candidates should send their resume, cover letter, GitHub or portfolio (if available), LinkedIn profile and optional publications or AI projects through the application form.