
Revolutionizing urban transportation with UMOS
42dot is a technology company based in Seoul, South Korea, focused on transforming urban transportation with its Urban Mobility Operating System (UMOS). This cloud-based platform aims to streamline mobility services and facilitate the transition to autonomous vehicles. With a growing team of 51-250 ...
Employees enjoy competitive salaries, stock options, flexible working hours, and a generous PTO policy. The company also offers remote work options an...
42dot fosters a culture of innovation and agility, encouraging employees to contribute ideas that drive the future of transportation. The company valu...

42dot • Seoul, South Korea
42dot is seeking a Data & AI Engineering Lead to develop AI models and optimize routing and dispatching technologies. You'll work with Machine Learning, Data Engineering, and Python in Seoul. This role requires over 8 years of experience in data engineering and machine learning.
You have over 8 years of experience in data engineering and machine learning, demonstrating a strong ability to develop and implement AI models that enhance urban mobility solutions. Your expertise includes building and optimizing algorithms for routing and dispatching, as well as demand prediction and ETA analytics. You are skilled in designing architectures that integrate intelligent systems with Agentic AI, ensuring seamless decision-making processes. Your background in knowledge graphs and ontology development allows you to create sophisticated data models that enhance the intelligence of mobility services. You are proficient in managing large-scale data pipelines and MLOps, ensuring the reliability and efficiency of AI systems in production environments. You thrive in collaborative settings, valuing teamwork and mutual growth, and are eager to tackle complex challenges in a fast-paced environment.
In this role, you will lead the development of AI models that drive the optimization of urban mobility services. You will be responsible for creating algorithms for routing and dispatching, utilizing advanced techniques such as reinforcement learning and optimization algorithms. Your work will involve developing predictive models for demand forecasting and ETA calculations, significantly enhancing operational efficiency. You will design and implement architectures that integrate these intelligent models with Agentic AI systems, facilitating autonomous decision-making. Additionally, you will build and refine knowledge graphs and ontologies tailored to the mobility and logistics domains, improving data integration and management. You will oversee the design and operation of large-scale data pipelines, ensuring the effective collection and processing of data from the UMOS platform. Your role will also include establishing MLOps pipelines for model training, deployment, and monitoring, ensuring the stability and performance of AI solutions in production. You will collaborate closely with cross-functional teams to ensure that the AI solutions align with business objectives and user needs.
At UMOS ONE, you will be part of a dynamic team that is committed to transforming urban mobility through innovative technology. We foster a culture of collaboration and support, where your growth and development are prioritized. You will have the opportunity to work on cutting-edge projects that have a significant impact on the future of mobility services. We offer competitive compensation and benefits, along with a supportive work environment that encourages creativity and problem-solving. Join us in shaping the future of urban mobility and be part of a team that values your contributions and aspirations.
Apply now or save it for later. Get alerts for similar jobs at 42dot.