Description
Your Daily Adventures Will Include
- Creating Supervisely Apps, main areas include development of Data Pipelines for different modalities (images, videos, 3D point clouds from LiDAR, medical volumetric data from CT/ MRI DICOMs) and Machine Learning models infrastructure
- Working with top github repositories with state-of-the-art models, train, test, deploy and integrate them into Supervisely
- Coding mostly in Python, basic understanding of HTML and Vue.js is welcomed, but not required
- Handling the entire model lifecycle: data preparation, training, inference, model debugging, comparison, deployment. Building special ML tools for work automation and publish them in our Ecosystem
- Experiment with modern research, explore SOTA papers and conferences
- Proactively solving technical challenges and fixing bugs
- Contributing ideas and constructive feedback to our product development roadmap
- Sharing your knowledge with community developers by creating tech videos, blog posts and promoting appropriate tech and engineering best practices in and outside of the team
- Collaborating with Enterprise customers to help with integration and building customized data and model pipelines
- Improving documentation, creating guides and tutorials for our developer portal
We Are Looking For
- Industry experience in data science and machine learning (1+ years recommended)
- Knowledge of major Python libraries like Pytorch, Tensorflow, Numpy, Pandas, requests, sklearn, OpenCV
- Solid understanding of modern developer tools: docker, git, github, vscode, venv
- Good principles towards writing clean, simple and maintainable code
- Good verbal and written communication skills in English
- Leveraging our in-house data and model platform that allow you to perform experiments in a matter of days
- Are you interested in this position?
- Apply by clicking on the “Apply Now” Button below!
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