Machine Learning Engineer

Responsibilities

• Study and transform data science prototypes

• Design machine learning systems

• Research and implement appropriate ML algorithms and tools

• Develop machine learning applications according to requirements

• Select appropriate datasets and data representation methods

• Run machine learning tests and experiments

• Perform statistical analysis and fine-tuning using test results

• Train and retrain systems when necessary

• Extend existing ML libraries and frameworks

• Keep abreast of developments in the field

Requirements

• Proven experience as a Machine Learning Engineer or similar role

• Understanding of data structures, data modeling and software architecture

• Deep knowledge of math, probability, statistics and algorithms

• Ability to write robust code in Python or C++

• Familiarity with machine learning frameworks (like Keras or PyTorch) and libraries (like scikit-learn)

• Excellent communication skills

• Ability to work in a team

• Outstanding analytical and problem-solving skills

Benefits

• Join very attractive and unique team that represent quality of generation

• Healthy and cozy working environment

• Handle big customer, big real problems

• Free lunch

• Working tools (Laptop with GPU)

• Fun and humble company culture without any politics