Описание
Surveily is a start-up on a mission to transform the Health and Safety standards of workplaces around the globe. Our technology focuses on monitoring and improving conditions in some of the most challenging and dangerous environments. By leveraging Machine Learning and Real-time Data, we aim to make a significant difference in the lives of countless employees, ensuring their workday is as safe as possible.
Join us and be a part of this noble cause. We are looking for a Machine Learning Engineer to help build computer vision features that solve real customer problems. You'll work across the full machine learning lifecycle - from understanding business requirements and preparing data to training models, deploying them to production, and continuously improving their performance.
We're building a team of end-to-end ML engineers rather than specialists. That means you'll be expected to contribute wherever the biggest bottleneck is: data, modeling, software engineering, deployment, or product integration. Strong Python engineering skills are essential.
A significant part of your work will involve building reusable tooling, improving developer workflows, and writing production-quality code that enables the entire team to move faster. What you'll be doing Design and deliver production-ready computer vision features from concept to deployment. Translate product and business requirements into practical machine learning solutions.
Work across the complete ML lifecycle, including data co
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