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Machine Learning Engineer

We are growing our Machine Learning/AI team, so this is a high impact and high ownership opportunity. If you’re a talented engineer interested in solving real-world problems and building an amazing business, we are the perfect place for you to come and do the best work of your life.


You will be responsible for:

Build state of the art machine learning systems that assist in orchestrating logistics, manage compliance adherence and aid in taking every day decisions around supply chains, suppliers/customers, production plans and so on
Design and maintain scalable predictive models over a large number of features in line with product goals
Own the ML implementation process: model design, feature planning, testing, production setup, and monitoring, and release management
Take an idea from small-scale research to large-scale real-world applications impacting one of the largest industries in the world "Logistics Across Borders"
Guide our product roadmap with a lens of deep learning and machine learning


You should have:

2+ years of industrial experience
Strong understanding of models and underlying mathematics at play
Demonstrated understanding of various algos (Convolutional Neural Networks, Recurrent Neural Networks, Long Short-Term Memories, etc.) and frameworks (Theano/ Tensorflow/ Caffe etc.)
Extensive computer vision and deep learning research experience, specifically applied to images, data and natural language
Ability to break down difficult concepts into simple explanations for others

BONUSES:

Experience with processing documents and text
Experience in GP-GPU programming environments (Cuda, OpenCL, etc.)
Strong coding chops (previous industry coding experience will be a bonus)
Familiarity with web technologies
Familiarity with distributed systems and methodologies: Spark, Hadoop, etc
Experience with at least one NoSQL database
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