PrivateAI Jobs - Artificial Intelligence Engineer

About us ‍ We are an early-stage startup (Pre-Seed completed; Seed funding for scaling sought) in Crypto / AI that aims to monetize scientific research, datasets and other kinds of IP through marketplaces tailored to AI companies that seek to acquire quality data for training. Our platform offers ways to participate in the AI economy without compromising the data, keeping it private (hence PrivateAI). All our co-founders have previously founded and exited crypto startups, including Ambrosus ($250m exit) and our CTO was Team Lead in Fantom ($8B market cap reached). Responsibilities: ‍ The target of the knowledge graph system we are building is prediction of existence of hidden links between different entities within scientific texts, i.e.revealing the dependencies not mentioned in the text explicitly. You will be developing AI models for the following tasks: Extracting knowledge graphs from a scientific article uploaded by a scientific group; Extracting knowledge graphs from a preliminary encrypted scientific article; Analysis and defining the regularities of the raw data by a user request; Finding the list of available knowledge graphs for a particular user request in a form of word, phrase or sentence (analysis); Associating the knowledge graph database with a list of corresponding articles in storage to further provide it as a response for a user search request. Requirements: ‍ - Strong proficiency in Python and R, Mistral, SpaCy and BERT. - 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 Benefits