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Machine Learning Engineer
hace 3 meses
Are you the NEXT one? We expect knowledge of: Strong fundamentals of machine learning:types of ml problems: classification, regression, clustering, etccommon evaluation measures: precision, recall, F1, IoU, ROUGE etcunderstanding 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 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.
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.
Has knowledge and experience with Collaborative filtering or Content-based filtering algorithms.
Has knowledge about recomendation measures:
MAP, 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.
xmore advanced python constructs as:
lambda functions, generators, list comprehension etccore principles of object-oriented programmingunderstanding of the threading and multi-process computation in PyhonExperience in using code versioning tools, such as Git.
Day-to-day work experience with Docker.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.
Other development skills like REST API or frontend skills.
Work-life balanceWe 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 careWe care about the health and well-being of our colleagues. Choose a sports card and dedicated medical care for yourself and your relatives.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 focusGrowth reviewJunior, Regular or Senior? Every year we have a chance to discuss acquired skills and prepare a development plan for upcoming months .
EventsAttend exciting internal webinars, celebrate special days with us, and join us at conferences and meetups as a listener or speakerVacations20 days of vacation to help you maintain your worklife balance.
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