Background

Certis is a leading outsourced services partner that designs, builds and operates smart, integrated solutions across security, facilities management and customer experience. Headquartered in Singapore with a growing presence in Australia and Qatar, we harness the power of technology, from AI to robotics, to deliver critical services that protect lives and enable communities to thrive.

At Certis, your work has purpose. You will be part of a mission that goes beyond operations and shapes safer, smarter and better outcomes for people and businesses. We offer diverse career pathways, invest in your growth and empower you to make a meaningful difference. If you are ready to build the future, your journey starts here with us.

Join our robotics AI team to design and deploy cutting-edge models for perception, navigation, and autonomous task execution. You'll optimize deep learning algorithms for real-time edge computing on platforms like NVIDIA Jetson, and lead federated learning strategies across robot fleets. Collaborate with robotics engineers to integrate intelligent behavior into dynamic systems. Ideal candidates bring 4+ years in AI/ML for robotics, with expertise in TensorFlow, PyTorch, ROS2, and edge optimization.

Job scope

What You'll Do

• Design, develop, and train AI models for robotic perception, including computer vision, SLAM, and reinforcement learning for autonomous navigation and task execution.
• Optimize deep learning algorithms for real-time edge computing on robotic platforms, ensuring low latency and energy efficiency.
• Develop federated learning strategies for distributed AI training across robot fleets, maintaining data privacy and bandwidth efficiency.
• Collaborate with robotics engineers to integrate AI models into robotic systems for intelligent, autonomous behaviour in dynamic environments.

What We're Looking For

• Minimum 4 years’ experience in AI/ML for robotics, proficient with TensorFlow, PyTorch, and deep learning techniques for perception and navigation.
• Proven ability to optimize AI models for edge devices like NVIDIA Jetson, focusing on real-time inference and resource efficiency.
• Experience with federated learning and deploying computer vision algorithms (object recognition, 3D mapping) using ROS2.
• Strong skills in data augmentation, synthetic data generation, and building robust AI models for resource-constrained environments.

Interested applicants may apply directly to DTC at: https://central.sginnovate.com/hub/marketplace/openings/20135946-972c-472d-a4bd-534b67a8b714