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Machine Learning Engineer - Alpharetta, GA, United States - Brambles USA Inc
6 days ago
Description
CHEP helps move more goods to more people, in more places than any other organization on earth via our 300 million pallets, crates and containers.
Through our pioneering and sustainable share-and-reuse business model, the world's biggest brands trust us to help them transport their goods more efficiently, safely and with less environmental impact.
You'll join an international organization big enough to take you anywhere, and small enough to get you there sooner. You'll help change how goods get to market and contribute to global sustainability. Develop computer vision and deep learning applications related to object detection, object segmentation and activity/action detection.Dedicated to delivering Machine Learning projects within the CHEP Supply Chain.
Dedicated to driving industry and market exploration into Machine Learning capabilities, assessing, leading feasibility study and applications of how it can be used in CHEP to further enhance our platform inspection capability across all CHEP platforms.
Lead the ideation, prototyping, and development of AI software.
Demonstrate expertise in solving computer vision problems.
Develop deep learning and traditional machine learning algorithms for CHEP business.
Design and develop scalable software architectures.
Demonstrate ongoing understanding of Machine Learning technologies in current marketplace and how they can be applied to the CHEP business.
Facilitate design and deployment of vision hardware equipment needed for image data gathering.Create and maintain data pipeline architecture for ML algorithm development.
Delivery of Machine Learning projects based on strategy and business need.
Scope:
Global - all CHEP Pallet business units
Field Based, US or Europe, preferably close to a CHEP office in Orlando, or in the UK -Weybridge or Manchester
Deliver value added machine vision projects corporately.
Utilizing existing hardware and images in addition to new image data gathering techniques to produce innovative image analysis models and algorithms.
Development of ML approaches that improve the speed and accuracy of image algorithm development for inspection and quality control methods.
Process Engineering, including existing machine vision development team, Operations and Quality teamExternal Technology Development and Data Annotation Suppliers
MS or PhD in Computer Science, Engineering, Mathematics or Statistics, with specialization in computer vision and deep learning.
Proficiency in Deep Learning frameworks (Tensorflow, Keras or Pytorch).
Proficiency in Python and C++.
Proficiency in implementing deep learning architectures for Image classification, Object detection and Object segmentation.
Demonstrated experience in scientific research related to Computer vision and Deep learning.
Scientific thinking and the ability to invent, implement, and lead technology developments in the field of computer vision and machine learning.
Software development experience in multi-threaded applications.Experience in software development (Python or C++), integration with deep learning algorithms and deployment in production.
Experience in multi-facility, international organizations desired.
Successful delivery of machine learning applications to internal or external customers.
Strong Python and C++ programming capabilities.
Scientific understanding of popular/state-of-the-art deep learning architectures and computer vision algorithms for object detection and object segmentation.
Ability to read scientific publications, understand and implement proposed solution
3D image algorithms experience.
Languages Required:
English; Desired: Spanish
#Degree and equivalentPreferred Level of Work Experience
This means harnessing the unique skills and experience that each individual brings and we do not discriminate against any employee or applicant for employment because of race, color, sex, age, national origin, religion, sexual orientation, gender identity, status as a veteran, and basis of disability or any other federal, state, or local protected class.
