Hi there! We are the biggest European Python Powerhouse with over 18 years of experience, and deep commitment to Agile principles. Join a group of 500+ professionals dedicated to helping customers build outstanding products. Are you the NEXT one? Job description We expect knowledge of: Strong fundamentals of machine learning: types of ml problems: classification, regression, clustering, etc common evaluation measures: precision, recall, F1, IoU, ROUGE etc scikit-learn models (random forest, SVM, xgboost), ensemble models etc. understanding dimension reduction techniques (PCA, TSNE, Umap) Data preparation and visualization libraries (pandas, matplotlib etc.). Knowledge of current neural networks architectures (RNN, CNN, Transformers) and methods (transfer learning). Documented experience with one of library: PyTorch or Tensorflow. Good knowledge of relational databases and experience with one of : PostgreSQL, MySQL, MS SQL, Oracle. Depending on your role and experience For NLP engineer: Knowledge of modern word/sentence/document embedding methods (Word2Vec, BERT, Doc2Vec, Laser, etc.). Knowledge of a classic bag of words approach (TF-IDF). Experience with NLP libraries as: Hugging Face. Transformers, Zalando Flair, NLTK. Has documented experience with working with one of the problems: named-entity recognition, text summarization, topic modeling, tagging the parts of speech, text semantic similarity, neural search. For CV engineer: Practical knowledge of OpenCV or related library. Knowledge of algoritmic (traditional) CV techniques like: Edge Detection, image features (Haar, HoG, SIFT, SURF etc). Experience with implementing Convolutional NN or other image related neural architecture in Pytorch or Tensorflow. Has documented experience with working with one of the problems: object classification, object tracking and detection, semantic segmentation, Pose Estimation. For Recommender Systems engineer: Has knowledge and experience with Collaborative filtering or Content-based filtering algorithms. Has knowledge about recomendation measures: MAP, MAP@K etc. Understanding od different similarity measures like: cosine. similary, metric based similarity. Has documented experience with working on project using recommendation engine. Has experience in one of library for efficient similarity search and clustering of dense vectors like: FAISS, Google Scan etc. Python and software development practices: Experience in Python 3.x more advanced python constructs as: lambda functions, generators, list comprehension etc core principles of object-oriented programming understanding of the threading and multi-process computation in Pyhon Experience in using code versioning tools, such as Git. Day-to-day work experience with Docker. Soft skills: Good communication skills in English (minimum B2). Problem solving and analytical thinking. Be nice and friendly. Your experience rating will also be affected by your other skills such as: Knowledge of at least one cloud platform (AWS, Azure, GCP) and its solutions related to data processing. Background in at least one NoSQL database like HBase. DynamoDB, MongoDB, Cassandra. Data scraping experience. Experience in search systems like Elasticsearch, Jina AI etc. Experience in data engineering tools. Other development skills like REST API or frontend skills. Requirements Benefits Work-life balance We are open to discussing individual needs. Set up working hours and limited remote work scheduled with your team and manager, in a way that works for both sides. Reimbursed private medical care We care about the health and well-being of our colleagues. Choose a sports card and dedicated medical care for yourself and your relatives. Leader's support Work with true enthusiasts and professionals who will support you along the way. You can count on leaders and experts who are willing to share their knowledge so that you too can join their ranks someday. Technology focus Python and JavaScript are not our only strengths, we are also very good at React Native, IoT, Machine Learning, DevOps and Blockchain. Growth review Junior, Regular or Senior? Every year we have a chance to discuss acquired skills and prepare a development plan for upcoming months . Events Attend exciting internal webinars, celebrate special days with us, and join us at conferences and meetups as a listener or speaker! Vacations 20 days of vacation to help you maintain your worklife balance.
