Senior Solutions Engineer
Skills
Computer ScienceCustomer RequirementsData AnalysisData AnalyticsNumpyPandasPost-Sales
What the job involves
The main requirements, responsibilities and hiring steps.
Requirements
- Experience with creative and hands-on problem-solving engineering to build IoT, data analysis, and ML solutions
- Experience with wearable health technology or industrial predictive maintenance
- Track record of working effectively async in a distributed team, with global customers and internally in a remote team
- Ability to understand and distill customer requirements and leverage excellent communication skills to guide them to a technical solution
- Experience with Python scripting language and ML/data libraries such as Keras, Pandas, or Numpy
- Experience with C/C++ programming for embedded real-time operating systems (RTOS) and Linux (including knowledge of board support packages and device drivers)
- Bachelor's degree in computer science, computer or electrical engineering with a specialty in AI/ML
- Preferred: Master's degree in computer science or ML/data management certification
Nice to have
- Effective communicator
- Detail-oriented
- Problem-solver
Day to day
- Collaborate with customers to optimize Edge AI solutions with best practices in data acquisition, ML development, testing, and deployment strategies
- Collaborate with customers to define and optimize their data management and ML workflow
- Develop data transformation blocks to pre-process large datasets
- Work with engineering and account management teams to solve customer technical challenges
- Conduct customer hands-on training and author end-to-end solutions guides