Principal Machine Learning Engineer (Prisma AIRS) - NetSec

Job Title: Principal Machine Learning Engineer (Prisma AIRS) - NetSec Company: Palo Alto Networks Job Category: Machine Learning Roles & Responsibilities: We believe collaboration thrives in person. That’s why most of our teams work from the office full time, with flexibility when it’s needed. This model supports real\-time problem\-solving, stronger relationships, and the kind of precision that drives great outcomes. Key Responsibilities * Lead SLM tuning initiatives for low\-latency, highly accurate edge\-cloud security tasks. * Drive advanced data classification strategies using ML, NLP, and deep learning. * Extract complex threat patterns from massive structured and unstructured datasets. * Partner with product, security, and cloud engineering teams as a technical leader. * Integrate machine learning solutions seamlessly into scalable production systems. Is role eligible for Immigration Sponsorship? No. Please note that we will not sponsor applicants for work visas for this position. Work Location: Bengaluru East, Karnataka, India Availability: Full time

Qualifications Required Qualifications * 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 like PyTorch or TensorFlow. * Proven experience working directly with LLMs/SLMs, advanced prompt engineering, and fine\-tuning techniques. * Strong background in building and scaling auto\-classification and anomaly detection models on massive datasets. Preferred Qualifications * Demonstrated knowledge of cybersecurity concepts and AI safety vulnerabilities like prompt injection defense and AI red\-teaming. * Familiarity with DistilBERT and other open\-source classification models. * Experience with large, graph\-based datasets and processing techniques. * Expertise in distributed cloud systems (GCP or AWS) and deploying ML inference pipelines at scale. Key Skills: Machine Learning, Python, TensorFlow, PyTorch, NLP Salary: Not disclosed