Palo Alto Networks (India) Technologies Private Limited
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Bengaluru · On-site · 8-11 Yrs · Sep 23
Enterprise Software & Network Solutions · 10000+ Employees · Santa Clara, US
Palo Alto Networks India has state-of-the-art technology centres in Bengaluru, Gurgaon and Pune. As a hub of technology and innovation, we play a crucial role in developing cutting-edge cybersecurity solutions that ensure each day is safer than the one before. Our India centres focus on developing next-generation security products—like Prisma Cloud, the innovative cloud platform securing applications from code to cloud, the game-changing Next Generation Firewall, and much, much more.
Hiring: Engineering
What employees say
+ Work culture is good and flexible Good Management
− Hiring contractors for shared services
More reviews on the company profile.
Interview experience · Senior Software Engineer
Three rounds took place, with medium difficulty and one take home assignment then two technical rounds with Hiring Manager. Process was quite long took two months and they kept rescheduling the interviews
Average difficulty · Bengaluru · 93 reports
More interview insightsJob description
Overview
In order to be the cybersecurity partner of choice, we must trailblaze the path and shape the future of our industry.
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.
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.
- Expertise in distributed cloud systems (GCP or AWS) and deploying ML inference pipelines at scale.
Nice to have
- 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.
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Job application FAQ
Last updated 30 September 2026
- How do I apply for Principal Machine Learning Engineer (Prisma AIRS) - NetSec at Palo Alto Networks (India) Technologies Private Limited?
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- Is Principal Machine Learning Engineer (Prisma AIRS) - NetSec remote or on-site in Bengaluru, Karnataka?
- This listing is marked on_site with location Bengaluru, Karnataka. Confirm details on the job description before applying.
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