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?
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?
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