Machine Learning Engineer Offline

Project:

Artificial intelligence: text document recognition and document classification based on machine learning and CFS platform

Customer: representatives of German financial branch

Job Overview: Developing and testing complex machine learning pipelines

We offer:

- enough work for all team players

- the possibility of business trips to Germany

- you can make your work interesting, we promote that

- cutting-edge technologies are welcome in our team

- we will try to motivate you as much as we can if you need that

- we know, that developers love hardware, we will try to make you happy with your working place

- friendly-professional atmosphere in a team, we like to work together :)

- there is no 9−18 schedule, unless it is adequate

- you can enjoy your vacation in the same way and amount as most of your friends

- when you are sick, we are sad with that and of course compensate it as working time

Our requirements:

- Machine learning (PyTorch, TF, OpenCV, PIL, Flair)

- Data Processing (Converting training data between different formats, complex pipelines)

- Software development (Python3, basic design patterns, HTTP, REST API).

- Solid experience in software engineering: modern software development practices and tools, concurrent and distributed programming, operating systems, computer networks, database systems

- Docker (Optimized images, docker-compose)

- Git workflow (branching, merging)

- English language (B1-B2)

- Ability to work independently and high attention to detail

Will be a plus:

- PDF processing experience

- Bachelor’s degree in Computer Science/Computer Engineering

- Strong communication skills and experience being a flexible team player

Responsibilities:

- Working with NLP, CV especially NER, Instance Segmentation, Classification tasks.

- Develop and test ML models and CLI for training pipelines.

- Working with WebServices (Flask)

- Creating Docker containers

- Data Visualization and Presentations