Position: Machine Learning Engineer / NLP engineer
Category: Data Science
English level: fluent
Years of experience: 3


Machine Learning Engineer with a solid background in Natural Language Processing, can speak several foreign languages, very quick learner with passion for learning new technologies and self-development. Ph.D. student.

1. Recruitment solutions project
Reduced time for development of a parser of Excel forms for new clients by 7x by developing state-of-the-art graph-based ML algorithm 
Implemented similarity search for vacancy-resume matching, created custom easily adaptable and extendable clustering algorithm
Developed graph-based page segmentation algorithm
Optimized inference speed of NLP models by 3x on CPU
Configured Google Cloud infrastructure and created data-lake for memory-efficient storage
2. SAP project (Safety data sheets management)
Developed a better performing ML solution to replace rule-based one to parse and validate information extracted from PDF documents
Established the whole ML pipeline: from data collection, supervision and synchronization of annotation process, organization of the human-in-the-loop process - to model development and with collaboration with backend team bringing it to production
Managed and supervised junior member of the team

- SaaS startup:
Worked with structured and unstructured text data, collected it from open sources, preprocessed, and used to improve the performance of the AI platform. Primarily classification problems. 

Experience with machine Learning libraries such as Scikit-Learn, PyTorch as well as good understanding of fundamental machine learning algorithms (both supervised and unsupervised).

Experience with open-source NLP libraries such as nltk and SpaCy, huggingface transformers, understanding of fundamental and new algorithms - words embeddings, RNN, LSTM, Transformers, BERT as well as practical experience in implementing them using state of the art NLP libraries such as transformers (also have experience with simpletransformers and Flair)
Experience with cloud solutions: AWS, GCP.
Make a long-term commitment towards working in an ambitious company focused on an international market. 
Have professional and career growth opportunities.

Not interested in BI Analyst positions.