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Embedded Analytics Engineer
hace 2 meses
Career Area: Engineering
Job Purpose:
We are seeking a skilled Embedded Analytics Engineer to join our team at Caterpillar. As a key member of our Condition Monitoring, Analytics and Modeling group, you will play a critical role in developing, implementing, and validating predictive models that predict the wear-out of various machine parts and systems.
Key Responsibilities:
- Gather and clean machine data to build mathematical control models using Matlab or Python
- Validate and test models against additional field data or develop models into implementable, robust, embedded code
- Collaborate with cross-functional teams to select the most appropriate tools and techniques for projects
- Stay up-to-date with emerging technologies such as edge computing, operating system level virtualization, machine learning, Internet of Things, and online analytical processing
Requirements:
- Bachelor's degree in an accredited Engineering or Computer Science or Materials Science program
- 1-3 years of relevant engineering experience
- Ability to communicate effectively in English with team members and others in the work group, as well as customers and suppliers
- Desirable skills include familiarity with Linux operating system, Python programming, and machine and engine data protocols used by Caterpillar (J1939 and Ethernet)
Caterpillar is an Equal Opportunity Employer (EEO).