Related skills
docker sql python kubernetes tensorflow📋 Description
- Design and implement production ML systems for the Dragos platform.
- Collaborate with Data Scientists, Data Engineers, and product teams.
- Build and deploy ML capabilities to enhance threat detection and intelligence.
- Develop ML pipelines for ICS/OT cybersecurity applications.
🎯 Requirements
- 6+ years of engineering, with 4+ years in production ML.
- Strong Python and SQL; experience in Go, Rust, or Java.
- Proven ML deployment track record with PyTorch, TensorFlow, scikit-learn.
- Experience with ML infrastructure: CI/CD, Kubernetes, Docker, MLOps.
- Build robust data pipelines and ML workflows for real-time/batch data.
- Data engineering knowledge: pipelines, streaming, queues, large datasets.
- Cybersecurity domain knowledge is a strong plus.
- Excellent communication and cross-team collaboration.
🎁 Benefits
- Competitive Equity Package
- Comprehensive Benefits Plan
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