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- University degree in IT combined with relevant IT professional experience of 15 years;
- Excellent experience with Python as well as of NLP/ML and common Python libraries (PyTorch, SpaCy, NLTK, Scikit-learn, Pandas, Pydantic);
- Extensive knowledge of machine learning techniques and algorithms;
- Extensive knowledge of neural networks and deep learning, with a focus on text processing models;
- Very good knowledge of package management (Poetry, pip, Conda);
- Very good knowledge of OOP and functional programming;
- Very good knowledge of Git;
- Very good knowledge of prompt engineering techniques and of models MLOps techniques (model testing/deployment/monitoring/versioning, experiment tracking);
- Very good knowledge of Data Management;
- Good knowledge of statistical analysis, experimental design and large scale data processing;
- Good knowledge of LLMs, Transformer architecture, RAG systems;
- Good knowledge of Azure and/or AWS, as well as Docker, Kubernetes and IaC (knowledge of Bicep and/or Terraform will be considered a plus);
- Good knowledge of Linux;
- Good knowledge of NoSQL databases (MongoDB, ElasticSearch), vector DB and query languages (SQL, ES, QL);
- Good knowledge of agile software development methodologies;
- Experience in the field of RAG processing will be considered an asset;
- Excellent command of the English language.
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