AI/ML Engineer (Hybrid)

Cisco

Remote Hybrid

Quick summary

Work type
Remote
Location
Research Triangle Park, NC · Austin, TX · San Jose, CA · Richardson, TX
Salary
$137,000–$200,500 / yr
Posted
5 days ago
Closes
Jun 30, 2026

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $207k
This role $169k
$124k most similar roles pay here $259k

This role pays less than 75% of similar roles. Most pay $167,537–$245,625 — the shaded band above. At the midpoint, this role pays about $169k versus about $207k for comparable roles.

Based on 240 similar postings.

Employer

About Cisco

Cisco Systems is the world''s leading networking technology company, designing and manufacturing networking hardware, telecommunications equipment, and cybersecurity solutions for businesses and governments. Industry: Networking Technology & Cybersecurity

Cisco currently has 174 open roles on FindRole.

Listed pay typically runs $165,000–$241,400 across 174 roles with salary data.

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View all roles at Cisco

At a glance

TL;DR · AI/ML Engineer (Hybrid)

As a Software Engineer specializing in AI/ML at Cisco Cloudx in RTP or one of its alternate locations, you will join the Cloud Management and Operations (CMO) team to architect, design, and develop platforms that ensure governance, efficiency, and security across public cloud environments. Your daily tasks include designing scalable applications, implementing AI agents for resource optimization, integrating insights with major cloud providers, and developing predictive models for cost management. You’ll also automate workflows, build ETL pipelines using AWS Glue and Snowflake, and manage data storage and processing. Essential skills include Python, PySpark, ML libraries like TensorFlow, and experience with cloud technologies such as AWS, GCP, Azure, and Apache Airflow. Additionally, you should have full-stack development expertise with Angular and Flask, strong communication abilities, and proficiency in Agile methodologies and CI/CD systems.

What you'll do

  • Design and implement highly scalable, multi-threaded, and distributed applications.
  • Develop predictive models for drift detection and cost anomaly forecasting in public clouds.
  • Integrate AI-driven insights with Cloud Service Providers like AWS, GCP, Azure.
  • Automate operational workflows using machine learning and intelligent scripting.
  • Maintain documentation and standard processes for AI/ML integration in cloud systems.

What we're looking for

  • 7+ years of experience in Computer Science with a relevant degree.
  • At least 2 years of experience building and deploying ML models for cloud operations.
  • Solid knowledge of AWS, GCP, Azure, and OCI cloud technologies.
  • Experience with Python, PySpark, and ML libraries like PyTorch, TensorFlow, or Scikit-Learn.
  • Proficiency in AWS Glue ETL, AWS Athena, Snowflake, and Apache Airflow DAGs.
  • Full stack development experience with Angular for front end and Flask for back end.
  • Strong communication skills and ability to collaborate across multi-functional teams.

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