Machine Learning Engineer

Nuage Technology Group has been engaged to recruit an experienced Machine Learning Engineer who is passionate about developing and deploying advanced AI solutions that revolutionize robotic communication and decision-making.

Key Responsibilities:

• Develop, train, and deploy machine learning models to enhance robotic intelligence and communication capabilities.
• Manage end-to-end ML workflows, including data processing and model deployment.
• Optimize AI models for edge hardware performance and efficiency.
• Partner with multidisciplinary teams to integrate AI technologies into robotic systems.
• Deliver scalable, high-performance solutions that advance robotic capabilities.

Your Background:

• A Bachelor’s or Master’s degree in Computer Science, AI, Machine Learning, Robotics, or a related field.
• Training large language models (LLMs) or transformer-based NLP systems.
• Deploying AI models on edge hardware, including platforms like NVIDIA Jetson.
• Integrating machine learning models with robotics or Gen AI systems.
• Proficiency in Python and experience with deep learning frameworks such as PyTorch or TensorFlow.
• Strong understanding of neural network architectures, transfer learning, and optimization techniques.

Technical Skills:

• Experience with ROS/ROS2 development and AI-robotics integration.
• Familiarity with hardware acceleration technologies (CUDA, TensorRT).
• Knowledge of reinforcement learning or imitation learning in robotics.
• Understanding of motion planning and control systems for robotics.
• Proficiency in collaborative software development and version control (Git).
• Willingness to participate in fieldwork and occasional travel.

Perks / Benefits:

• Competitive compensation package.
• Stock options providing ownership in the company’s success.
• Work at the forefront of AI and robotics innovation.
• Fast-paced, collaborative environment that values your contributions.
• Clear pathways for career growth and professional development.

Australian Citizens only.