Position: Machine learning engineer
Category: Data Science
English level: intermediate
Years of experience: 4


Developed and deployed machine learning models for various tasks such as natural language processing, computer vision, and document processing systems.
    Worked with machine learning algorithms and ensembles of algorithms for tasks such as BERT for NER, classification, embedding, and W2V.
    Performed NLP tasks using deeppavlov, transformers, nltk, and gensim libraries.
    Worked on computer vision tasks such as image classification, object detection, and face recognition using PyTorch, Keras, and Tensorflow.
    Managed data collection, preprocessing, and model training for object detection and classification tasks.
    Deployed models on Azure ML for training and deployment.
    Collaborated with cross-functional teams to develop and deliver high-quality machine learning solutions.
To secure a challenging position as a Machine Learning Engineer, where I can utilize my experience in machine learning algorithms, natural language processing, computer vision, and document processing systems to contribute to the growth and success of the organization.