— texts (sentiment analysis, text classification, text clusterization, trends detection, NER)
— images (logo detection, OCR, image classification, object detection)
— autoML (custom classifications of social media posts)
— web page extraction (automatically extract meaningful information from web pages)

Чем Вы должны обладать

Обязательно

— Python3 + classic ML/CV stack (numpy, pandas, sklearn, opencv)
— Deep Learning frameworks: PyTorch/TensorFlow (PyTorch is preferred)
— theoretical concepts of Machine Learning and Deep Learning.
— 3+ years of DS/ML experience (at least 2 years of CV experience)
— practical experience in at least two of the following problems: image classification, object detection, segmentation, OCR, metrics learning
— experience in deploying ML models to production
— good English for reading SOTA articles and communicating with foreign colleagues
— goal-oriented mindset

Желательно

— model optimization experience (pruning, quantization, knowledge distillation)
— experience in pipeline optimization overall
— TensorRT
— Docker, Kubernetes, Kubeflow, Airflow
— experience in ML competitions for example Kaggle ones

Что Вы получаете Предлагаем

— The dream team of passionate people
— comfortable office with outstanding sunsets
— we will pay for your professional development — conferences, courses, books, etc.
— free English courses and medical insurance
— you will be able to work remotely but we hope to see you in the office sometime
— self-education Fridays
— unlimited vacation (yeah, really)

Похожие вакансии по специальности Data Engineering, Deep Learning и Data Science & AI