Position: Python Engineer
Company: Drawer.AI
Experience required: 3y
English level: intermediate

We are young startup from US targeting construction niche. Our tasks from technology point of view ranges from CV, NLP, IE (information extraction), graph algorithms to applied geometry and development of web applications.
Qualifications:
At least 2 years of experience in Computer Vision or Deep Learning for object detection or Data Scientist position. OR 2 years + back end python position.
Bachelor’s degree in computer science, engineering, or a related field.
Great programming skills in Python, with an understanding of data structures and algorithms.
Ability to develop serving routines around the algorithm, experience with Django/Flask/FastAPI.
Experience with popular machine learning and deep learning frameworks such as TensorFlow, PyTorch, and Scikit-learn.
Experience with the pandas/dask library.
Preferred/Nice to have skills:
Experience with classical Computer Vision, opencv.
Good mathematical knowledge and thinking.
Knowledge regarding Geometric algorithms / Geometric data structures.
Experience with visualization tools / libraries.
Passion for learning: we will encourage you to take courses that directly needed for a work.
pdf, XML parsing and processing.
kubernetes / Docker - one should be able to put API to the docker.
Responsibilities:
You will be developing part that is designed to search particular shapes from set of geometric primitives.
One should be able to develop an algorithm from scratch / from paper and provide POC.
Assist senior team members with data wrangling, NN training, etc...
Perform ad-hoc analysis as required.
Write server infrastructure around the algorithm in an optimized way and ready for the production.
For example we have kind of framework to work with one part of the product, your task will be convert that code in more structured way + fix bugs that were found during testing.
We offer:
 Possibility to work with a product company.
 Professional growth.
 Competitive compensation.
 Experienced senior team.
 Almost zero bureaucracy.