Develop new and improve existing computer vision (CV) models to achieve precision analytics for the Power-I Substation Monitoring Platform at Mitsubishi Electric Power Products Inc (MEPPI)
Requirements
- Advanced software engineering skills and experience with Python programming.
- Advanced knowledge of deep learning, including semantic segmentation and object detection.
- Ability to learn, adapt and utilize new technology related to the Power-I Substation Monitoring Platform.
- Advanced computer skills with emphasis on Microsoft Office products to prepare reports, analysis and schedules.
- Experience with computer vision, machine learning, and/or image processing
- Advanced analytical and problem-solving skills
- Experience with data pipelines and integration with other algorithms and visualization tools
Responsibilities
- Develop, calibrate, validate, and maintain scalable computer vision algorithms to extract intelligence from image-based data.
- Iterate and incorporate new algorithms to continuously improve product performance under a variety of conditions.
- Identify optimal analytical methods and solutions for algorithm development.
- Provide insight and recommendations for the Power-I architecture design based on information obtained from machine learning algorithms, advanced mathematical models, and business expertise.
- Create data pipelines to add structure to the resultant data extracted from images, and work to integrate the data into other algorithms and visualization tools and platforms.
- Provide technical expertise in building an analytics-driven product pipeline.
- Design and implement methodologies for testing and accuracy assessment.
Other
- Bachelor’s Degree in Computer Science or related discipline with a minimum of 3 years of experience
- Advanced interpersonal, communications and presentation skills
- Ability to collaborate with end-user and product owners to understand computer vision needs
- Ability to provide production support for computer vision components
- Ability to further the goals and positive, professional image of the Division through effective dealings with customers, stakeholders and other MEPPI divisions
