Machine Learning Engineer (EU Candidates)

Expected

• Python

• Git

• Docker

What is expected of you?

The role of a Machine Learning Engineer has many variations, we are not looking for someone who is good at everything, but people with in-depth knowledge of a particular domain of NLP, Computer Vision or Recommender systems. What is important to us is the foundation and basic understanding of the problems and ideas behind ML.We use ML methods in practice so we also value the ability to implement models in the form of API or integration with the client's system.

We expect knowledge of:

• strong fundamentals of machine learning:

o types of ml problems: classification, regression, clustering, etc

o common evaluation measures: precision, recall, F1, IoU, ROUGE etc

o scikit-learn models (random forest, SVM, xgboost), ensemble models etc.

o 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

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

Python and software development practices:

• experience in Python 3.x

o more advanced python constructs as: lambda functions, generators, list comprehension etc

o core principles of object-oriented programming

o 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