Career Opportunities >> Deep Learning Architect
Deep Learning Architect
Summary
Title:Deep Learning Architect
ID:1104
Department:R&D
Location:Pleasanton, CA
Description

Deep Learning Architect
Acting as a hands-on architect, the ideal candidate will design solutions that are strategic for the business and build on the latest technologies and patterns. Utilizing in-depth knowledge of infrastructure, open source technologies, and software engineering, you will develop the strategy, establish engineering buy-in, and monitor execution toward the target architecture with continuous improvement along the way.


About Us
Blume Global (formerly REZ-1) is empowering a new era of supply chain innovators to accelerate their businesses and deliver products and services more efficiently and effectively. We’re drawing on more than two decades of experience to build a purpose-driven, growth-focused global supply chain ecosystem that aligns asset management, real-time visibility and financial settlement—all on one platform.

As part of Blume's solution development team you will use the latest innovations in artificial intelligence, machine learning, natural language processing, block chain, big data, intelligent robotic process automation and Internet of Things to create a vibrant supply chain ecosystem that is truly collaborative, purposeful and focused on real value creation.

This is a newly created position due to growth and our mission to disrupt the market with new & innovative technology. Come make your mark & plant your seeds - - it’s your time to BLUME!
 

Responsibilities:

  • Drive architecture and design decisions for the product and platform focusing on the machine learning flow.
  • Develop scalable solutions based on state-of-the-art machine learning and AI methodologies.
  • Analyze data sets for utility in unsupervised and supervised learning activities, perform failure analysis and feature engineering to improve performance, communicates these findings in a clear and thoughtful manner
  • Plan, architect, design, develop, test and maintain key software enhancements, especially related to machine learning capabilities
  • Be responsible for architecting the ML models and how they're used in a production environment.
  • You'll introspect/interpret/debug model behavior and will help guide our ML implementation team towards better observability and more promising architectures based on real-world performance.
  • Develop prototypes and execute experiments to evaluate the performance of ML/AI architectures/algorithms in large-scale industrial applications.
  • Create proof-of-concept technology demonstrations.

Basic Qualifications:

  • You have an MS or PhD degree in computer science, computer architecture or a related field.
  • You have a strong and broad background in relevant theory familiar with statistical learning theory; information theory; recent theoretical results in machine learning; an excellent foundation in linear algebra.
  • You have explored architectures for Machine learning, Deep learning.
  • Strong software skills in Python, Java, Scala, databases, and visualization tools
  • Experience working with one or more Machine Learning and/or Deep Learning frameworks such as Spark ML, TensorFlow, Caffe, Scikit-learn, H20, or xgboost
  • Experience building and optimizing robust data pipelines at scale using technologies such as Hadoop, Kafka, Spark etc.
  • Strong communication and interpersonal skills are required along with the ability to work in a dynamic, product-oriented, global team.
  • 2+ years’ experience working with a framework (TensorFlow, Torch/Pytorch, MXNet, and/or Caffe).
  • 3+ years’ experience using machine learning toolkits (scikit-learn, TensorFlow, Jupyter, NumPy etc.)
  • Experience with big data storage, analytics, and visualization solutions (MongoDB, Hadoop, Spark, Tableau etc.)
  • Experience building and deploying on the Cloud such as AWS, Microsoft Azure or Google Cloud.
  • Strong programming skills in Python and/or C/C++ and/or Java

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