RequirementsYou are knowledgeable about production-grade Machine learning inference and model training lifecycle. A minimum of 4 years of hands-on experience in production projects as a Machine Learning Engineer, Data Engineer, or Data Scientist. At least 5 years of overall experience in software development. Strong experience in Python programming language. Strong experience in PyTorch or Tensorflow. Strong experience in NLP and/or CV (not only GPT & BERT-like models). Strong experience with the following libraries: numpy, pandas, opencv, spacy, nltk, scikit-learn. Experience with generative models (GPT) and prompt engineering. English language (Intermediate and higher). This is a full-time position requiring exclusive commitment.
Good To HaveExperience with Azure Cloud services (or alternative)Experience with OpenAI platform (or alternative). Experience with HuggingFace. Experience with data processing pipelines. Knowledge of data analysis, statistics and data visualisation (descriptive statistics, statistical tests, plotting, dashboards, etc. ). ResponsibilitiesAutomatization of information extraction from digital born and scanned documents in various formats (PDF, Excel, Word, Images etc. ). Building prediction and recommendation models based on the input data and user behaviour. Building ML/data pipelines and datasets according to business requirements. Analysing and visualising the data and presenting the result to the team.
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