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Lead Machine Learning Engineer

Skills
APIArtificial IntelligenceCross-Functional Team LeadershipData ArchitectureDatabasesGraph DatabasesMachine Learning
Role

What the job involves

The main requirements, responsibilities and hiring steps.

Requirements

  • +15 years of proven experience in leading ML projects particularly in NLP entity extraction and knowledge graph creation.
  • Extensive knowledge of Neo4j graph neural networks and graph-based data architectures.
  • Proficient in working with open-source machine learning models and toolkits.
  • Ability to design and implement APIs to integrate ML models and knowledge graphs with external platforms.
  • Strong ability to collaborate with academia and cross-functional teams to translate complex AI/ML solutions into business strategies.
  • Experience in defining and developing taxonomy and ontology for data classification and structuring.

Day to day

  • Drive the development of cutting-edge machine learning models.
  • Build proof-of-concept solutions.
  • Manage complex data environments such as knowledge graphs and graph databases.