About Roadern:

Roadern aims to revolutionize the road asset management industry with its innovative AI-powered platform. The platform simplifies condition inspections, generates budget-optimized maintenance plans, and streamlines asset management for road authorities. With Roadern, road asset management is efficient, cost-effective, and user-friendly.

Job Summary:

We seek a passionate and skilled Senior AI Engineer with extensive experience in deep learning, machine learning, image segmentation models, image object detection models, and software development. As a Senior AI Engineer at Roadern, you will be pivotal in designing, developing, and deploying AI solutions that address industrial challenges.

Key Responsibilities:

• Develop and implement advanced AI models, including deep learning and machine learning algorithms.
• Design and optimize image AI models, segmentation models, and object detection models.
• Collaborate with cross-functional teams to define, design, and ship new AI features.
• Analyze and improve the efficiency, scalability, and stability of AI models.
• Conduct research and stay updated with the latest advancements in AI and related technologies.

Requirements:

• Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
• Proven experience in deep learning, machine learning, and AI model development.
• Strong expertise in image AI models, including segmentation and object detection.
• Proficiency in programming such as Python, TensorFlow, PyTorch, and other relevant AI tools.
• Solid understanding of software development principles and practices.
• Excellent problem-solving skills and the ability to think critically.
• Strong communication skills and the ability to work effectively in a remote team environment.

Benefits:

• Competitive salary and performance-based bonuses.
• Flexible working hours and remote work opportunities.
• Professional development opportunities and access to cutting-edge technology.
• A supportive and collaborative team.
• support visa application based on prior agreement.