Senior Data Scientist

📋 Description

• Design and deploy LLM- and RAG-powered apps to boost analyst productivity.
• Integrate Generative AI models with internal APIs and data.
• Build and fine-tune ML models for vulnerability prediction and triage.
• Develop data pipelines and ML deployment workflows on AWS.
• Architect data pipelines for large-scale, multi-tenant environments.
• Collaborate with security teams to automate AI-driven workflows.

🎯 Requirements

• 5+ years in Data Science, ML Eng, or Data Eng; CS degree preferred.
• Python and AWS experience (S3, Lambda, Glue, Bedrock).
• End-to-end ML pipelines from ingestion to deployment.
• Strong knowledge of LLMs, RAG, and API integration.
• Data architecture for large-scale, multi-tenant environments.
• Experience applying ML to security or operational intelligence.

🎁 Benefits

• Remote, work-from-home 100%.
• Work on security-focused AI with cutting-edge tech.
• Collaborative, inclusive culture.
• Mentorship and growth opportunities.