Data Scientist
ReliaQuest
Data Science
Multiple locations
Posted on Jan 18, 2025
Why it's worth it
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?
Graduate Level
- Master's degree in Statistics, Mathematics, Computer Science, Data Science, or related field
- Strong programming skills in Python
- Basic understanding of machine learning concepts and deep learning frameworks
- Familiarity with NLP concepts and transformer architectures
- Experience with basic data analysis and visualization
- Eagerness to learn about LLMs and GenAI applications
Mid Level
- 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
Senior Level
- 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?
Graduate Level
- Previous experience with ML/AI projects
- Contributions to open-source ML projects
- Experience with basic LLM fine-tuning
- Familiarity with graph databases
- Knowledge of cybersecurity concepts
Mid Level
- 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
Senior Level
- 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
