Senior Data Scientist
| Company | ReliaQuest |
|---|---|
| Location | Tampa, FL, USA, Dublin, Ireland |
| Salary | $Not Provided – $Not Provided |
| Type | Full-Time |
| Degrees | |
| Experience Level | Mid Level, Senior |
Requirements
- 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
- 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
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
Preferred Qualifications
- 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
- 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