Principal Machine Learning Engineer (Prisma AIRS) - NetSec
Palo Alto Networks, Inc. (company site, opens in a new tab)14+ yrsBengaluruOn-siteDirect career pageEst. 65–95 LPA
Posted on 24 Sept
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Job description
Structured overview of role & requirements
About 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.