Senior Data Scientist

About the position

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, and 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.

Responsibilities

• 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

Requirements

• Master's degree in Statistics, Mathematics, Computer Science, Data Science, or related field (Graduate Level)
• 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 (Graduate Level)
• 3-5 years of experience in applied data science (Mid Level)
• 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 (Mid Level)
• 6+ years of experience in data science with focus on production ML systems (Senior Level)
• 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

Nice-to-haves

• Previous experience with ML/AI projects (Graduate Level)
• Contributions to open-source ML projects
• Experience with basic LLM fine-tuning
• Familiarity with graph databases
• Knowledge of cybersecurity concepts (Graduate Level)
• Experience with LLM fine-tuning and prompt engineering (Mid Level)
• 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 (Mid Level)
• Deep expertise in LLM architectures and training methodologies (Senior Level)
• 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