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 Integrating 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
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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 Integrating 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
#J-18808-Ljbffr