May 15
AWS
Azure
Cloud
Docker
Google Cloud Platform
Hadoop
JavaScript
Keras
Kubernetes
NoSQL
Python
PyTorch
Spark
SQL
Tableau
Tensorflow
• The target of the knowledge graph system is to predict hidden links between entities in texts • Develop AI models for extracting knowledge graphs from scientific articles and user requests • Analyze and define regularities in raw data • Find available knowledge graphs for user requests
• Strong proficiency in Python and R • Mistral, SpaCy and BERT, cyBERT, FAISS, SpaCy LLM • Deep understanding of machine learning, including frameworks like TensorFlow, Keras, and PyTorch • Expertise in natural language processing (NLP) and data analysis • Experience with data visualization tools like Tableau and PowerBI • Familiarity with big data technologies such as Hadoop and Spark • Knowledge of cloud platforms (AWS, Azure, GCP) and containerization (Docker, Kubernetes) • Experience with SQL and NoSQL databases • Understanding of web technologies (HTML, CSS, JavaScript) • Excellent project management and team leadership skills • Preferred: Background in scientific research data management • Experience with blockchain technology and cryptocurrencies • Experience with HELib, Microsoft SEAL, PALISADE, OpenFHE, TFHE, HEAAN, Λ ○ λ, lattigo
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