Join Us
Bring your computer vision projects into one single place.
Take your AI applications from development to production and automate your workflows with end-to-end MLOps pipelines.
What you should know
Who are we?
Picsellia is a cloud-based MLOps platform for computer vision. We provide a centralized platform for companies looking to productionize AI models for visual use-cases such as Smart Cities, Sports Analytics or Quality Inspection across Europe.
Founded in 2019, Picsellia provides a set of tools to search, visualize and explore millions of images to create meaningful datasets, train AI models and monitor them in production. We empower ML engineers and product teams to transfer software, and DevOps good practices into the world of Machine Learning (understand MLOps).
We are a team of 12 passionate people looking to become the category leader in MLOps for computer vision in Europe in the next 5 years. To achieve this mission, we have raised 2 funding rounds and are looking to expand the team to 20+ people in 2023, so it’s a key moment to join us :)
About Picsellia
As the AI market is growing in maturity, companies are in need for help to implement their strategy and finally achieve digital transformation thanks to Machine Learning (and more precisely in our case, Computer Vision).
That’s why our mission is divided in two parts:
- First: we have to develop the best platform to support our clients need in an end-to-end flavor regarding their projects, meaning, from data collection to model deployment
- Second: we offer some consulting services to help them gather and organize data, prototype their models, establish their deployment strategy etc.
About the Product
Picsellia is an end-to-end Machine Learning Platform composed of 4 main parts:
- Data management
- Experiment tracking
- Model registry
- Deployment and monitoring
As our platform is meant to be used by different kinds of users (Data Scientists cleaning data in the interface, Data Engineers and DevOps creating pipelines between Picsellia and other services...), every feature can be leveraged with the UI or with our APIs (through our Python SDK).
About the Machine Learning Team
Today, the Data Science capabilities of Picsellia stands on the CTO and interns.We’ve successfully implemented clients project in different fields such as Marketing, Heavy Industry, Agriculture.
Some research projects we’ve worked on to improve the platform:
- Data augmentation
- Model Compression
- Monitoring
- Explainability
- ...
You’ll be our next Computer Vision Lead to complete our team and build our dream squad!
About the Technical Stack
- We work with the main ML Frameworks (Tensorflow, Pytorch, ONNX…)
- Our serving engine is based on Nvidia Triton
- Projects vary across the whole computer vision spectrum (object detection, segmentation, tracking …)
About the Tools
- Communication: Slack & Keybase
- Code related: Github and Github Actions
- Collaboration: Notion, Github
