What are the responsibilities and job description for the Data Scientist position at 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
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