Principal Machine Learning Engineer (Prisma AIRS) - NetSec
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About the role
Palo Alto Networks develops cybersecurity products to protect digital systems and prevent cyberattacks. You will lead machine learning work for low-latency security tasks and integrate ML solutions into scalable production systems.
What you'll do
- Lead SLM tuning for low-latency edge-cloud security tasks
- Develop data classification strategies using ML, NLP, and deep learning
- Extract threat patterns from large structured and unstructured datasets
- Partner with product, security, and cloud engineering teams
- Integrate machine learning solutions into scalable production systems
Skills
Must have
- Python
- PyTorch
- TensorFlow
- LLMs
- Prompt engineering
- Fine-tuning
- Machine learning
- Natural language processing
- Deep learning
- Anomaly detection
Nice to have
- Cybersecurity
- Prompt injection defense
- AI red-teaming
- Distilbert
- Graph-based data processing
- Distributed cloud systems
- ML inference pipelines
Who it's for
- Education
- Master's degree
- Degree
- computer science, artificial intelligence, machine learning, statistics
- Experience
- 14+ years
- Domain
- cybersecurity
About Palo Alto Networks
Palo Alto Networks has 48 open roles in Bangalore, at Palo Alto Networks India, Bagmane Tech Park. See every Palo Alto Networks role.
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