Python Developer
Python
Python Developer
Wrocław
Type of work
Undetermined
Experience
Senior
Employment Type
Permanent, B2B
Operating mode
Remote
Tech stack
Python
Django
Django Rest Framework
REST API
Celery
Kubernetes
JavaScript
Golang
Job description
We are ShelfWise - a fast growing and ambitious company based in Kraków, recently acquired by FORM.com, a US-based company, for our world-leading computer vision AI. Our solution leverages image recognition to provide data and analyses about products and prices on physical shop shelves - in real-time.
We aim to build the world's first fully-integrated task management and image recognition platform for smarter retail execution.
Your tasks will be:
We aim to build the world's first fully-integrated task management and image recognition platform for smarter retail execution.
Your tasks will be:
- Automatic AI models lifecycle: training, evaluation, deployment, continuous accuracy monitoring
- Development and maintenance of image processing tools:
- training data acquisition
- analyzing images in real-time by multiple AI models
- evaluating models’ performance
- analyzing images in real-time by multiple AI models
- evaluating models’ performance
- Taking active part in crucial discussions and team decisions
- Cooperating with Web, Mobile and IoT teams
- Experimenting with new technologies and tools
Great if you have (recommended):
- 4+ years of experience with Python
- experience with Django and Django REST framework
- experience in building model training and deployment infrastructures
- experience in creating REST APIs
- an understanding of Test-Driven Development
- excellent communication skills
- experience as a full-stack / backend developer
Nice-to-haves:
- experience with asynchronous processing tools, like Celery
- experience with ML Ops
- experience with Kubernetes and Docker
- experience with JavaScript, GoLang
Our offer:
- 16,000 - 20,000 PLN net (B2B) / gross (UoP), depending on experience
- Development of world-leading AI for product and price recognition
- Being part of a small team of AI engineers/researchers
- Access to a GPU cluster with > 100,000 CUDA cores
- A startup atmosphere where you can feel impact and importance of your work
- Using the latest tools of your team’s choice
- Established development and deployment processes, i.a. code review, standups and planning sessions, CI/CD, all apps run on Kubernetes
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