Develop, calibrate, validate, and maintain scalable computer vision ML algorithms to extract intelligence from image-based data.
Iterate and incorporate new ML 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 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

Bachelor’s degree in data science, Machine Learning, Computer Science, Physics, Econometrics or Economics, Engineering, Mathematics, Applied Sciences, Statistics, or equivalent field
4 years of experience in computer vision, machine learning, and/or image processing
Advanced software engineering skills and experience with Python programming
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
Experience with handling large datasets and cloud computing platforms (e.g. AWS, Azure, GCP, or other enterprise level analytics platforms
Experience turning business needs into technical requirements, and structuring developments, analysis and validation plans to meet requirements
Relevant industry experience (electric or gas utility, EV charging infrastructure, Vehicle-Grid integration, distributed energy resources, analytics consulting, etc.).

Benefits

Health Care
Retirement Plans
Top Industry Wages
Paid Time Off & Sign-on Bonus
Relocation Services

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

computer visionmachine learningimage processingPython programmingdeep learningsemantic segmentationobject detectiondata pipelinesanalytics-driven product pipelinealgorithm development

Soft Skills

interpersonal skillscommunication skillspresentation skillsanalytical skillsproblem-solving skillsadaptabilitycollaborationcustomer engagementstakeholder managementtactical decision-making