We're pioneering the future of engineering through cutting-edge AI technologies. Our mission is to empower engineers with intelligent tools and insights, revolutionizing productivity, efficiency, and creativity in their work.
We focus on engineering automation, with flagship products including AI Copilot, intelligent workflow, AI design automation, and knowledge automation. Our ambitious goal is to amplify engineering productivity by X1000.
As an AI Engineer specializing in the automation of workflow for engineers and building knowledge graphs for virtual engineers, you will be at the forefront of developing groundbreaking solutions that redefine how engineering tasks are performed and managed. Working alongside a dynamic team of AI experts, engineers, and domain specialists, you will have the opportunity to shape the future of engineering by harnessing the power of AI technologies.
About Us
Motion G is a Singapore headquartered AI engineering platform serving multiple industries clients and tech communities. The platform is to significantly automate all major engineering and product management processes with AI and Data Science technology. The firm was founded by leading AI researchers, seasoned industry executives, and serial Tech entrepreneurs, and backed by TMT investors.
You Will
- Develop AI-driven solutions to automate and optimize workflows across the end-to-end engineering lifecycle
- Design and implement knowledge graphs to capture, organize, and visualize domain-specific insights, bridging knowledge gaps for engineers and enabling informed decision-making.
- Analyze existing engineering workflows and identify opportunities for optimization and efficiency improvement through AI technologies.
- Collect and integrate data from disparate sources, including engineering databases, sensor networks, and various devices, to populate knowledge graphs and derive actionable insights.
- Collaborate with software engineering teams to integrate AI components seamlessly into existing engineering software tools and platforms, ensuring interoperability and scalability.
- Conduct thorough testing and validation of AI systems to ensure reliability, accuracy, and performance across different stages of the engineering lifecycle.
- Document technical specifications, user guides, and best practices to facilitate knowledge sharing and ensure effective utilization of AI-driven solutions.
- Stay abreast of the latest advancements in AI technologies, machine learning algorithms, and engineering practices through continuous learning and professional development initiatives.
You Are
- Master's or Ph.D. degree in Computer Science, Data Science, Engineering, mathematics, or a related field.
- Strong experience in developing and deploying machine learning models and algorithms, familiarity with the latest opensource AI platforms and tools;
- Experience with data annotation automation techniques, active learning, and human-in-the-loop processes.
- Familiarity with synthetic data generation techniques and their application in enhancing model training.
- Strong problem-solving and analytical thinking abilities.
- Excellent communication skills, with the ability to effectively convey complex technical concepts to both technical and non-technical stakeholders.
To Apply
If you are passionate about data science, excited to tackle complex challenges, and eager to shape the future of industrial automation, apply here or send your latest resume, quoting the title“ AI Engineer” to [email protected].
