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Predictive Maintenance Intern- Python experience is a must

Remote, United States

SonicWall is a cybersecurity forerunner with more than 30 years of expertise and is recognized as a leading partner-first company, ensuring our partners and their customers are never alone in the fight against cybercrime. With the ability to build, scale and manage security across the cloud, hybrid and traditional environments in real-time, SonicWall provides relentless security against the most evasive cyberattacks across endless exposure points for increasingly remote, mobile and cloud-enabled users. With its own threat research center, SonicWall can quickly and economically provide purpose-built security solutions to enable any organization—enterprise, government agencies and SMBs—around the world. For more information, visit www.sonicwall.com or follow us on Twitter, LinkedIn, Facebook and Instagram.

Overview

We are looking for a motivated and enthusiastic intern to join our Engineering team and gain hands-on experience in software development in public cloud environment. As an intern, you will have the opportunity to research and build autonomous systems in predictive maintenance by applying statistical methods and AI/ML techniques.

Topic

Predictive Maintenance: Using AI to optimize Reliability of cloud workloads

Objective

Reliability of a system that is deployed in cloud infrastructure is often impacted by failures, security vulnerabilities or scalability issues due to contention or issues with resource utilization. The effects are degraded performance, unplanned downtime, adverse effect on resource usage and cost, and unsatisfactory user experience. Predictive maintenance is a proactive maintenance strategy to help identify potential issues before they escalate into major problems and prescribing solutions to address them proactively. The objective of this research is to collect historical and real-time, time-series data of metrics/traces/logs of cloud workloads from cloud infrastructure monitoring and APM services and use statistical methods and AI/ML techniques to analyze the data to predict when the system would fail to meet reliability objectives and recommend solutions to address them proactively.

Key Responsibilities

  • Data collection and preparation of metrics/traces/logs data from cloud infrastructure monitoring/APM services for data analysis
  • Develop and deploy time-series forecasting models for real-time predictions to optimize reliability of cloud workloads
  • Conduct research on the relevant topics and present to the team.

Qualifications

  • Currently pursuing a Bachelors/Masters degree in statistical computing/data science/computer science.
  • Detail oriented and must have excellent analytical skills
  • Must have Knowledge in Python.
  • Knowledge of AI/ML frameworks (TensorFlow, PyTorch, Keras) is a plus.
  • Excellent communication and organizational skills.
  • Ability to work as part of a team.

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SonicWall is an equal opportunity employer.  

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At SonicWall, we pride ourselves on recruiting a diverse mix of talented people and providing active security solutions in 100+ countries.

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