Machine Learning Engineer

Develop and deploy information extraction models for entity, relationship, and attribute extraction.

• Utilize neural networks (LSTMs, GRUs, Siamese) and pre-trained models (BERT, T5, Transformers).
• Fine-tune and optimize existing models for improved accuracy and efficiency.
• Leverage knowledge graphs for enhancing information extraction and inference capabilities.
• Integrate neuro-symbolic AI techniques for reasoning and knowledge representation.
• Contribute to the creation and maintenance of knowledge graphs from unstructured text data.
• Explore applications of knowledge graphs in question-answering and decision-making systems.
• Collaborate with the team to integrate solutions into larger systems.
• Potentially contribute to sentiment analysis, text generation, and translation projects.
• Strong Python skills and experience with TensorFlow (or similar) and knowledge graph technologies required.
• Be able to evaluate and transform latest, untested academic methods into production workflows.
• Self-driven, highly motivated and ability to work both independently and within a team.
• Operate optimally in fast pace development environment with dynamic changes, tight deadlines and limited resources.