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Platform Science is an open IoT platform founded in 2015 that connects fleets, app developers, vehicle manufacturers, and equipment suppliers in the transportation sector to deliver innovative solutions to supply chain professionals worldwide. We transform millions of daily events from real fleets into applied intelligence.
You will join a multidisciplinary team (Software, QA, Hardware, and Product) focused on applied research. Your mission will be to:
• Transform data into impact by creating AI and Machine Learning models to optimize real-world operations and shape the future of mobility
• Drive continuous innovation by exploring new Code Assist tools and staying at the frontier of technological advances
• Collaborate globally with Platform Science teams around the world, exchanging experiences and technologies
• Work with agility in a dynamic environment using agile methodologies to deliver high-value solutions
You will work with millions of data points from real fleet operations, building scalable solutions with a hands-on approach and a passion for innovation.
REQUIREMENTS:
• Proficiency in Python applied to Data Analytics, Data Engineering, Data Science, or AI Engineering
• Data vision: experience with pipelines (AirFlow) and visualization tools (Domo or Power BI)
• Cloud experience: AWS, Azure, or GCP
• Engineering mindset: familiarity with Linux ecosystem, Containers, and Terraform
• Preferred: experience with models for mobile devices or automotive sector (Edge AI)
