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PrivateAI

Artificial Intelligence Engineer

NEW
RemoteContractorGlobal
šŸ  Remote
RemoteRemote work position availableActivePosted within the last 30 days

Job Description

[AI-summarized by JobStash]

You will develop AI models and systems that extract and reason over knowledge graphs from scientific texts. You will build models to predict hidden links between entities, extract graphs from both regular and encrypted articles, analyze raw data to define regularities per user requests, locate knowledge graphs matching query phrases or sentences, and link graph entries to corresponding stored articles so they can be returned for user searches. You will use NLP and machine learning frameworks, work with big data and cloud platforms, and integrate storage and search pipelines to deliver reliable, searchable knowledge representations.

Requirements

  • ā—Strong proficiency in Python
  • ā—Strong proficiency in R
  • ā—Experience with Mistral
  • ā—Experience with SpaCy
  • ā—Experience with BERT
  • ā—Deep understanding of machine learning
  • ā—Experience with TensorFlow
  • ā—Experience with Keras
  • ā—Experience with PyTorch
  • ā—Expertise in natural language processing
  • ā—Expertise in data analysis
  • ā—Experience with Tableau
  • ā—Experience with PowerBI
  • ā—Familiarity with Hadoop
  • ā—Familiarity with Spark
  • ā—Knowledge of AWS
  • ā—Knowledge of Azure
  • ā—Knowledge of GCP
  • ā—Experience with Docker
  • ā—Experience with Kubernetes
  • ā—Experience with SQL databases
  • ā—Experience with NoSQL databases
  • ā—Understanding of HTML
  • ā—Understanding of CSS
  • ā—Understanding of JavaScript
  • ā—Excellent project management skills
  • ā—Team leadership skills
  • ā—Background in scientific research data management (preferred)
  • ā—Experience with blockchain technology and cryptocurrencies (preferred)
  • ā—Experience with HELib (preferred)
  • ā—Experience with Microsoft SEAL (preferred)
  • ā—Experience with PALISADE (preferred)
  • ā—Experience with OpenFHE (preferred)
  • ā—Experience with TFHE (preferred)
  • ā—Experience with HEAAN (preferred)
  • ā—Experience with Ī› ā—‹ Ī» (preferred)
  • ā—Experience with lattigo (preferred)

Responsibilities

  • ā—Develop AI models to predict hidden links between entities in scientific texts
  • ā—Extract knowledge graphs from scientific articles
  • ā—Extract knowledge graphs from encrypted scientific articles
  • ā—Analyze raw data and define regularities in response to user requests
  • ā—Find knowledge graphs matching user queries expressed as words, phrases, or sentences
  • ā—Associate knowledge graphs with corresponding articles in storage to enable search responses

Benefits & Perks

  • ā—Performance-dependent bonuses including commission from funding raised
  • ā—Vesting in form of tokens
  • ā—Access to company advisors' and CEO's personal networks
  • ā—Invitations to conferences or business events with expenses paid

Tech Stack

NLPPyTorchHTMLCSSmachine learningHomomorphic encryptionDockerKubernetesHadoopTensorFlow
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