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
Assess needs and recommend experiments and projects, suggest new algorithmic development, and drive tactical decisions about approaches and data requirements
Collaborate with end-user and product owners to understand computer vision needs
Design and implement methodologies for testing and accuracy assessment
Provide production support for computer vision components
Further the goals and positive, professional image of the Division through effective dealings with customers, stakeholders and other MEPPI divisions
Requirements
Bachelors Degree in Computer Science or related discipline with a minimum of 3 years of experience in computer vision, machine learning, and/or image processing, or equivalent education and experience
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 interpersonal, communications and presentation skills
Advanced analytical and problem-solving skills
Advanced computer skills with emphasis on Microsoft Office products to prepare reports, analysis and schedules
Benefits
Opportunity to work on cutting-edge technology in a collaborative environment
Be part of a team driving innovation in energy and infrastructure
Make a real impact through your contributions to a mission-driven organization
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