RESPONSIBILITIES:
- Create DevOps roadmap and documentation plan for prediction functions, optimization functions or hardware control functions
- Lead the DevOps process of the prediction functions, optimization functions or hardware control functions of the energy aggregation system
- Make technical decisions in building multivariate models integrated with mathematical, statistical, physical, machine learning, AI models or control transfer function
- Define appropriate algorithms and methodologies for maintainable and scalable coding
- Build methodologies for collaboration with cross-functional teams, various service project owners and third parties
MINIMUM QUALIFICATIONS:
- Bachelor's degree in data science, computer science, mechanical engineering, electrical engineering, a related technical field, or equivalent practical experience
- 5+ years of experience in building multivariate models and data pipelines for prediction, optimization or hardware control by Python
- Capability of algorithm design, Implementation, evaluation, tuning and reporting
- Experience and skills in writing publications about electrical or thermal energy systems
- Proficiency in business level English skill and a passion to develop Japanese conversation skill
NICE TO HAVES:
- Master's degree in data science, computer science, mechanical engineering, electrical engineering, a related technical field, or equivalent practical experience
- Experience in processes from software requirement definition to operations
- Experience in the software product development for the energy management system, electric power system, HVAC system or prediction systems (weather, traffic, logistics, stock trading, etc.)
- Experience and skills in API design
- Experience and knowledge in the quality control process such as ISO 9000 family
- Proficiency in business level Japanese
0 applies
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