Cryptography Expert

1 week ago

Dublin, Dublin City, Ireland beBeeData Full time €90,000 - €120,000

At the forefront of developing cutting-edge AI and ML solutions, you'll be part of a global cybersecurity technology leader. Join us in revolutionizing security operations with our GreyMatter platform.

The everyday hustle as a Data Scientist involves:

  • Developing and implementing advanced machine learning models, with a special focus on LLMs and GenAI
  • Working on autonomous AI agents that enhance our security operations capabilities
  • Integrating AI agents with traditional ML systems
  • Creating and maintaining knowledge graphs for improved threat detection and response
  • Collaborating with cross-functional teams to integrate AI/ML solutions into our GreyMatter platform
  • Analyzing complex security data to identify patterns and anomalies
  • Participating in the full ML lifecycle from research to production deployment

To succeed in this role, you'll need:

  • 3-5 years of experience in applied data science
  • Strong experience with machine learning model development and deployment
  • Hands-on experience with deep learning frameworks and LLMs
  • Experience with cloud computing platforms (AWS/Azure/GCP)
  • Track record of successfully deployed ML models in production
  • Understanding of AI/ML security considerations
  • Extensive experience training and deploying LLMs and GenAI solutions
  • Proven track record of leading complex AI/ML projects
  • Experience integrating AI agents with traditional ML systems
  • Expertise in knowledge graph technologies and applications
  • Strong background in production ML architecture and MLOps

We're looking for candidates with:

  • Experience with LLM fine-tuning and prompt engineering
  • Knowledge of graph databases and knowledge graph construction
  • Experience with ML model monitoring and maintenance
  • Understanding of AI agents and their applications
  • Background in cybersecurity or security analytics
  • Deep expertise in LLM architectures and training methodologies
  • Experience building and deploying autonomous AI agents
  • Advanced knowledge graph development and implementation experience
  • Expertise in combining traditional ML with GenAI solutions
  • Track record of innovative AI/ML solutions in production
  • Experience with large-scale ML systems architecture
  • Research publications or patents in ML/AI

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