Senior Data Scientist

3 weeks ago


Dublin, Dublin City, Ireland ReliaQuest Full time

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Join ReliaQuest, a global leader in enterprise cybersecurity technology, where you'll be at the forefront of developing cutting-edge AI and ML solutions for our GreyMatter platform. You'll work with state-of-the-art technologies including:

- Large Language Models (LLMs) and Generative AI

- Autonomous AI Agents for security operations

- Knowledge Graphs for enhanced threat detection

- Cloud-native architecture and advanced ML systems

We're not just following AI trends - we're setting them. Our GreyMatter platform combines traditional ML with next-generation AI capabilities to revolutionize security operations.

The everyday hustle

As a Data Scientist at ReliaQuest, you'll be:

- 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

- Integrate 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

Do you have what it takes?

- 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

- 6+ years of experience in data science with focus on production ML systems

- 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

- Experience mentoring junior data scientists

What makes you uncommon?

- 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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