Principal Machine Learning Engineer (Prisma AIRS) - NetSec
Palo Alto Networks, Inc.Match Score
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Protocol Intelligence
Data-driven signals on your job's competitivenessTier-1 employer and Bengaluru location increase competition despite senior niche ML specialization.
Requires deep ML/LLM, cybersecurity and production deployment experience, limiting cross-industry transferability.
Explicit 14+ years, advanced degree and specialized ML/LLM experience make filters very strict.
Job Description
Structured overview of role & requirementsAbout This Role
Lead tuning of state-of-the-art language models (SLMs) for low-latency, high-accuracy edge-cloud security applications.
Develop and implement advanced machine learning, NLP, and deep learning techniques for data classification and threat pattern extraction from large structured and unstructured datasets.
Serve as a technical leader collaborating with product, security, and cloud engineering teams to integrate ML solutions into scalable production environments.
Minimum Requirements
Master's or PhD in Computer Science, AI, Machine Learning, Statistics, or related field.
14+ years of software engineering experience, including at least 3 years in machine learning, NLP, or AI systems.
Proficient in Python and deep learning frameworks such as PyTorch or TensorFlow.
Experience with large language models (LLMs/SLMs), including prompt engineering and fine-tuning.
Ideal Candidate Profile
Extensive experience building and scaling auto-classification and anomaly detection models on massive datasets.
Familiarity with cybersecurity concepts, AI safety (e.g., prompt injection defense), and AI red-teaming methods.
Skilled in deploying ML inference pipelines on distributed cloud platforms like GCP or AWS and working with large graph-based datasets.