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Limitless High-tech career opportunities - Expoint

Palo Alto Principal Machine Learning Engineer Cloud 
United States, California 
191826090

Yesterday

Being the cybersecurity partner of choice, protecting our digital way of life.

Your Impact

  • Conceptualize, Collaborate and Develop highly scalable cloud native Network Management System for managing devices and services at scale in hybrid deployments
  • Lead and Design next-generation configuration data management architecture and security posture products for customers
  • Build Consolidated and unified framework to support AIops functionality including bpa (best practice checks and custom checks), policy optimizer, policy analyzer for all of the form factors
  • Hands-on participation in developing next generation configuration management architecture
  • Technical leadership and end-to-end delivery of solutions in collaboration with cross-functional product management, development and quality assurance teams in a fast paced environment
  • Deliberate and build frameworks to improve quality of micro services
  • Work with DevOps and Technical Support teams to investigate and resolve critical customer defects
  • Recruit and Mentor new team members

Your Experience

  • MS/BS in Computer Science or equivalent or equivalent military experience
  • 10+ years of experience in building large enterprise applications required
  • 5+ years experience in technical leadership roles in building major cloud native apps or subsystems
  • Proven ability to lead and collaborate with many cross-functional teams with an emphasis on end-to-end delivery
  • Experience in the full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, peer review, and operations

Must haves

  • Strong programming experience with Python (Java and Go nice to have as well)
  • Data analysis experience
  • Machine learning/deep learning frameworks (e.g. scikit-learn, TensorFlow/Keras, PyTorch)
  • LLMs, Embedding/vector databases, Retrieval-Augmented Generation (RAG)
  • Formal modeling, SMT solvers
  • Graph theory
  • Containerization experience (e.g. Docker, Kubernetes)

Also required

  • Experience with or familiarity of Test Driven Development and Continuous Integration is required
  • Experience developing in Kubernetes based environments is a plus
  • Experience developing microservice based solutions on public cloud infrastructure is highly desirable
  • Knowledge of and experience building enterprise software with graph databases is highly desirable
  • Experience building network and security configuration management systems is highly desirable
  • Experience building appliance based network management solutions is highly desirable

We define the industry, instead of waiting for directions. We need individuals who feel comfortable in ambiguity, excited by the prospect of a challenge, and empowered by the unknown risks facing our everyday lives that are only enabled by a secure digital environment.

Compensation Disclosure

The compensation offered for this position will depend on qualifications, experience, and work location. For candidates who receive an offer at the posted level, the starting base salary (for non-sales roles) or base salary + commission target (for sales/commissioned roles) is expected to be between $126000 - $204500/YR. The offered compensation may also include restricted stock units and a bonus. A description of our employee benefits may be found .

All your information will be kept confidential according to EEO guidelines.