Principal Machine Learning Engineer (Prisma AIRS) - NetSec
Palo Alto Networks14 days ago
Bengaluru, IndiaStaff+
Responsibilities
- Lead SLM tuning initiatives for low-latency, highly accurate edge-cloud security tasks.
- Drive ML, NLP, and deep-learning-based data classification strategies.
- Extract threat patterns from large structured and unstructured datasets.
- Partner with product, security, and cloud engineering teams as a technical leader.
- Integrate machine learning solutions into scalable production systems.
Requirements
- MS or PhD in Computer Science, Artificial Intelligence, Machine Learning, Statistics, or a related field.
- 14+ years of software engineering industry experience, including 3+ years in ML, NLP, or AI systems.
- Deep programming expertise in Python and deep learning frameworks such as PyTorch or TensorFlow.
- Experience with LLMs/SLMs, advanced prompt engineering, and fine-tuning techniques.
- Experience building and scaling auto-classification and anomaly detection models on massive datasets.
- Preferred: knowledge of cybersecurity, prompt injection defense, AI red-teaming, DistilBERT, open-source classification models, graph-based datasets, GCP or AWS, and large-scale ML inference pipelines.
Benefits
- Most teams work from the office full time, with flexibility when needed.
- Reasonable accommodations are available for qualified individuals with disabilities or special needs.
- The company is an equal opportunity employer.
Tech Stack
Categories
About Palo Alto Networks
Palo Alto Networks builds cybersecurity products for enterprises and governments, including next-generation firewalls, cloud security (Prisma Cloud/Prisma Access), and SOC tools (Cortex). It sells subscriptions and appliances with cloud-delivered threat intelligence, securing networks, endpoints, and applications across data centers and public clouds. Founded in 2005 and headquartered in Santa Clara, California, the company is publicly traded on the NYSE under the ticker PANW.