ReliaQuest

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