Senior Machine Learning Engineer
RepeatMDFull Time
Senior (5 to 8 years)
Key technologies and capabilities for this role
Common questions about this position
Geotab offers great benefits along with a fulfilling career, opportunities to innovate, and a fun and inclusive work culture.
This information is not specified in the job description.
The role involves developing and maintaining machine learning platforms for models and generative AI applications, implementing logging, monitoring, and alerting services, enriching big data with telematics at scale, working with data scientists on infrastructure solutions, creating documentation, and supporting data integration for internal teams.
Geotab has a fast-paced, ever-changing environment with a diverse and talented team that follows their passion, thinks differently, and accepts new challenges. It features a fun and inclusive work culture certified as a Great Place to Work™.
Strong candidates love technology, are keen to join an industry leader, can contribute to growth and deliver results, and have expertise in building big data infrastructure on Google Cloud Platforms, particularly for machine learning and generative AI.
Telematics and fleet management solutions provider
Geotab provides fleet management solutions that help businesses optimize their vehicle operations through telematics and data analytics. Their products include hardware devices, like GO devices, and software that collects and analyzes vehicle data. This data helps clients with route planning, monitoring driver behavior, improving fuel efficiency, and managing vehicle maintenance. Geotab stands out from competitors by offering a scalable platform suitable for fleets of all sizes and a subscription model that ensures ongoing updates and support. The company's goal is to enhance operational efficiency and safety for a diverse range of clients, including commercial fleets and government agencies.