Solar-Storage Associate Machine Vision Engineer | Cartersville, GA (On-site) 21 views

Solar-Storage

About the job
0-2+ years of relevant experience
Professional experience applying machine learning for Computer Vision applications – specifically with Image Classification, Object Detection and Instance Segmentation systems
Image data gathering and dataset management
Required Qualifications:
Hanwha Qcells designs, builds, and manages financially sustainable solar photovoltaic (PV) solutions. The company brings a decade of global leadership in solar PV to North America, combining best-of-world technology, processes, and partnerships to deliver utility-grade solar PV solutions customized for the US energy market.
The Associate Machine Vision Engineer will be responsible for implementing computer vision algorithms based on deep learning for object detection and classification as well as quality control in industrial automation applications.
Experience in network programming such as TCP/IP, SMB protocol
Preferred Qualifications:
Be comfortable working with the entire machine learning life cycle, from data gathering to model deployment
Image data gathering and dataset management
Training and evaluating deep learning models applied to images for several applications such as Image Classification and Object Detection as well as Instance Segmentation
Ability to interact collaboratively with colleagues, customers, suppliers, and different technical backgrounds
Hanwha QCells provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability or genetics.
Required Qualifications:
Location: Cartersville, GA (On-site)
Responsibilities:
Good understanding of both classical computer vision algorithms and deep learning based solutions
Deploying and integrating machine learning models in industrial applications
Experience in a data-related role in a manufacturing industry
Analyzing exploratory data to extract statistics and useful information from image inspection data
Bachelor’s degree in a quantitative discipline (e.g. Computer Science, Statistics, Industrial Engineering, Mathematics, or a related field)
Summary
Experience with Python, Deep Learning frameworks (PyTorch, TensorFlow), and OpenCV
Experience in graphic library such as PyQt, Qt (QML)

Solar-Storage