Senior IT AI/ML Engineer - Data Analytics

Palo Alto Networks

Quick summary

Work type
On-site
Location
Santa Clara, CA
Posted
2 days ago
Nearby
99+ roles within 25 mi

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How this pay compares to similar roles

Similar $198k
$141k most similar roles pay here $247k

This listing doesn't post a salary. Most similar roles pay $159,869–$236,900.

Based on 240 similar postings.

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About Palo Alto Networks

Palo Alto Networks is a global cybersecurity company offering network security, cloud security, and endpoint protection solutions.

Palo Alto Networks currently has 30 open roles on FindRole.

Listed pay typically runs $154,000–$249,500 across 27 roles with salary data.

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At a glance

TL;DR · Senior IT AI/ML Engineer - Data Analytics

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As a Senior IT AI/ML Engineer in the Data Analytics team, you will lead the development and implementation of advanced AI solutions to address complex business challenges across various functions. Your day-to-day responsibilities include translating high-level strategies into concrete designs, managing model selection and integration, and ensuring robust, scalable implementations aligned with ethical standards. You will contribute to the lifecycle of the enterprise AI/ML platform, optimize large-scale systems for performance, evaluate new tools and frameworks, and champion best practices in system design. The role requires deep expertise in machine learning, proficiency in Python, R, TensorFlow, PyTorch, and SQL, as well as experience with distributed systems and streaming data. You will collaborate closely with Data Scientists, ML Engineers, Product Managers, and IT stakeholders to deliver production-grade AI solutions that drive measurable business impact.

Skills

Python TensorFlow PyTorch scikit-learn R AWS Azure Google Cloud Platform MLOps Kubernetes Docker CI/CD SQL C++ Apache Kafka Prometheus Grafana Git GitHub

What you'll do

  • Design and implement AI solutions to solve complex business problems.
  • Develop core components of the enterprise AI/ML platform for scalability and security.
  • Optimize large-scale AI/ML systems for performance and reliability.
  • Evaluate and integrate new AI tools and frameworks according to architectural guidelines.
  • Lead technical design discussions and perform code reviews to ensure quality.
  • Ensure AI systems comply with responsible AI principles and security policies.
  • Apply cutting-edge AI techniques to improve existing solutions and drive innovation.

What we're looking for

  • Deep technical expertise in machine learning and deep learning theories and applications.
  • Experience designing, building, and deploying scalable AI systems with MLOps principles.
  • Hands-on experience with Generative AI, LLMs, and relevant cloud platforms.
  • Strong programming skills in Python, C++, and proficiency in SQL for data manipulation.
  • Understanding of the AI lifecycle including deployment and security policies.
  • Excellent problem-solving and communication skills for diverse technical audiences.

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