Machine Learning Engineer

at  STX Next Sp zoo

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:
• 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 the libraries: PyTorch or Tensorflow.
• Good knowledge of relational databases and experience with one of : PostgreSQL, MySQL, MS SQL, Oracle.
• Familiarity with Python.

SOFT SKILLS:

• Good communication skills in English (minimum B2).
• Problem solving and analytical thinking.
• Be nice and friendly.

Please refer the Job description for details