Most Loved Workplace® Certified JobSenior Backend Engineer - Shelfview
Most Loved Workplace® Certified JobAbout the Role
At Scandit, a Most Loved Workplace® certified employer in the Technology space, Empowering frontline workers through intelligent data capture technology.
<p><strong>Scandit Tampere</strong></p>
<p><strong>Senior Backend Engineer</strong></p>
<p>Scandit gives people superpowers. Whether enabling delivery drivers to make quicker deliveries, matching a patient with their medication, or allowing retailers to make store operations more efficient, our technology automates workflows. It provides actionable insights to help businesses in a variety of industries. Join us as we continue to expand, grow, innovate, and help take Scandit to the next level.</p>
<p>Our newest product, ShelfView, is a machine-learning-powered platform for retail that gives real-time shelf visibility and helps stores run more efficiently. ShelfView is scaling fast: we are ramping towards the rollout of the largest retail intelligent deployments, processing billions of product-location updates a year. As a Senior Backend Engineer, you’ll be part of the team that builds and runs the backend behind ShelfView's product recognition and store-monitoring pipeline.You will help scale automated, ML-driven store monitoring while keeping the platform fast, observable, and secure for a growing list of enterprise retail customers.</p>
<p>If these challenges sound interesting to you, we'd love to hear from you!</p>
<p><iframe src="https://player.vimeo.com/video/666068414?title=0&amp;amp;byline=0" width="425" height="350"></iframe></p>
<h2><strong>About the role</strong></h2>
<p>This role is about solving complex engineering problems at scale and building the backend solutions that power them. You will help design and operate the distributed systems that turn store imagery into real-time, actionable alerts. That includes choosing and building on workflow-orchestration infrastructure for ML pipelines, making infrastructure and GPU-capacity tradeoffs for model serving at scale, and extendin
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