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Lead Data Platform Developer - AI Platform

Geotab
CompanyGeotab
CategoryEngineering
LocationRemote - Singapore
RemoteRemote
EmploymentNot stated
LevelLead
SalaryNot stated by the employer
Posted23 Jul 2026
Last verified30 Jul 2026
SourceEmployer career page (greenhouse)
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Description
Who we are: Geotab ® is a global leader in IoT and connected transportation and certified “Great Place to Work™.” We are a company of diverse and talented individuals who work together to help businesses grow and succeed, and increase the safety and sustainability of our communities.   Geotab is advancing security, connecting commercial vehicles to the internet and providing web-based analytics to help customers better manage their fleets. Geotab’s open platform and Geotab Marketplace ®, offering hundreds of third-party solution options, allows both small and large businesses to automate operations by integrating vehicle data with their other data assets. Processing billions of data points a day, Geotab leverages data analytics and machine learning to improve productivity, optimize fleets through the reduction of fuel consumption, enhance driver safety and achieve strong compliance to regulatory changes.   Our team is growing and we’re looking for people who follow their passion, think differently and want to make an impact. Ours is a fast paced, ever changing environment. Geotabbers accept that challenge and are willing to take on new tasks and activities - ones that may not always be described in the initial job description. Join us for a fulfilling career with opportunities to innovate, great benefits, and our fun and inclusive work culture. Reach your full potential with Geotab. To see what it’s like to be a Geotabber, check out our  blog  and follow us @InsideGeotab on  Instagram .  Who you are: We are always looking for amazing talent who can contribute to our growth and deliver results! Geotab is seeking a Lead Data Platform Developer who will be building the Geotab internal machine learning and generative AI platform. This role allows all Geotab data scientists and generative AI developers to explore, train, and build machine learning models, gain access to underlying Large Language Models, and build GenAI agent applications for internal services and end customers in production. If you love technology, and are keen to join an industry leader — we would love to hear from you!  What you'll do: As a Lead Data Platform Developer your key area of responsibility will be leading the architecture, design, and development of our data platform, ensuring scalability, robustness, and efficient processing of both structured and video data at scale. You will need to work closely with cross-functional teams, stakeholders at all levels, and engineers across the organization. To be successful in this role you will be an enthusiastic, entrepreneurial self-starter with an open mindset who thrives in a flat organizational structure, exhibits exceptional communication and collaboration skills, and can effectively manage multiple projects while maintaining clear focus and direction. In addition, the successful candidate will have strong technical mentorship capabilities, advanced problem-solving skills for complex root cause analysis, and a proven ability to evaluate, select, and adopt emerging data platform technologies. How you'll make an impact Architect, design, and develop scalable data platforms using cutting-edge technologies like Kubernetes, Apache Flink, and Ray. Develop and maintain new machine learning platforms managing the machine learning models and generative AI applications and agents. Develop processes and implement logging, monitoring, and alerting services to ensure the health of Geotab’s AI platform infrastructure. Develop processes to enrich Geotab’s big data with telematics data at scale. Work with data scientists to understand data processing needs and develop infrastructure solutions to support these initiatives. Create and maintain documentation for architecture, requirements, and process flows. Support internal Geotab teams to assist with data
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