Machine Learning Engineer/Data Engineer/Data Scientist
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About the job
REQUIREMENTS: • You 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 HAVE: • Experience 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.). RESPONSIBILITIES: • Automatization 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.
Requirements
- Machine Learning
- Python
- PyTorch
- Data Engineering
- NLP
- Computer Vision
Preferred Technologies
- Machine Learning
- Python
- PyTorch
- Data Engineering
- NLP
- Computer Vision
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