Communicating effectively with internal customers – define goals, agree on timelines, collect feedback, ask for support, communicate transparently about risks, report on the project status.
Preparing and analyze data required for model training with Python
Training and testing AI/ML models using various AI/ML libraries
Preparing Machine Learning models for deployment
Using an on-premise ML development GPU computing platform (Linux)
Optimizing and testing existing models to improve their performance
Solving various ML tasks: Forecasting, Regression, Classification, Anomaly detection, Image object detection, Text classification, Text generation, Root Cause Analysis, Timeseries modelling
Working in a Data Science team, in an international environment, with good work-life balance
Helping writing patents
Working autonomously and have freedom to propose your own methodologies or approaches to solve use cases
requirements-expected :
At least 4 years of experience
Very good knowledge and proven experience with programming in Python
Experience building models with PyTorch
You Know how to write clean code and use design patterns
Experience with code review
Knowledge how to use Git
Experience with building data pipelines using Python and its ML libraries
You Know how to train and test Machine Learning and Deep Learning Models
Experience with Docker
Basic Linux commands knowledge for daily work
Ability to access and process data with SQL
Willingness to work in International environment - international travels may happen
Have good communication skills and like teamwork
Curiosity to learn more about advanced AI methods
Very good written and spoken English (C1)
offered :
Employment contract
Additional day off on the occasion of birthdays/namedays
Medical package and life insurance
Benefit platform - you choose what you benefit from
Access to training platforms to improve your knowledge
I know Talent - training or money for referring friends to work !
Besides, with us you can count on access to our products and services at preferential terms and benefits, which you will read about below
benefits :
sharing the costs of sports activities
private medical care
sharing the costs of foreign language classes
sharing the costs of professional training & courses
life insurance
flexible working time
corporate products and services at discounted prices
integration events
mobile phone available for private use
no dress code
parking space for employees
extra social benefits
sharing the costs of tickets to the movies, theater
holiday funds
birthday celebration
sharing the costs of a streaming platform subscription
