Machine Learning Enginee (offline)
We Offer:
Working with worldwide names (like BMW, Gett, McKesson) and technical startups with challenging tasks
People-oriented management without bureaucracy
Friendly climate inside the company β previous employees have come back often
Flexible working hours
Business trips to customers
100% paid sick leave
Free English courses
Paid participating in the sports events
Educational budget
Responsibilities:
Implementing different techniques for decrease noise level on images
Experimenting with neural network architectures for semantic segmentation task
Develop algorithms of precise contouring region of interest
Communication with customer
Scheduling working process
2+ year commercial experience with Machine Learning
Proficiency in Python and ML frameworks (numpy, scipy, pandas, sklearn, OpenCV)
Experience with deep learning libraries (TensorFlow, Keras, PyTorch etc.)
Understanding of classical computer vision algorithms
Experience with Git
At least Upper-Intermediate level of English
Will be a plus
University degree in Computer Science, Math or similar
Experience in Linux environment
Experience in C++
Working knowledge of Docker
Competitive machine learning experience (e.g. Kaggle)
Working with worldwide names (like BMW, Gett, McKesson) and technical startups with challenging tasks
People-oriented management without bureaucracy
Friendly climate inside the company β previous employees have come back often
Flexible working hours
Business trips to customers
100% paid sick leave
Free English courses
Paid participating in the sports events
Educational budget
Responsibilities:
Implementing different techniques for decrease noise level on images
Experimenting with neural network architectures for semantic segmentation task
Develop algorithms of precise contouring region of interest
Communication with customer
Scheduling working process
2+ year commercial experience with Machine Learning
Proficiency in Python and ML frameworks (numpy, scipy, pandas, sklearn, OpenCV)
Experience with deep learning libraries (TensorFlow, Keras, PyTorch etc.)
Understanding of classical computer vision algorithms
Experience with Git
At least Upper-Intermediate level of English
Will be a plus
University degree in Computer Science, Math or similar
Experience in Linux environment
Experience in C++
Working knowledge of Docker
Competitive machine learning experience (e.g. Kaggle)
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