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Calix logo
Calix

To enable broadband service providers of all sizes to simplify, innovate and grow.

Staff AI Ops Engineer

Artificial IntelligenceArtificial IntelligenceFull TimeRemoteLeadTeam 1,001-5,000Since 2000H1B SponsorCompany SiteLinkedIn

Location

United States

Posted

84 days ago

Salary

$136K - $265.7K / year

Seniority

Lead

Job Description

Staff AI Ops Engineer

Calix

• Design, implement, and maintain scalable infrastructure for ML and GenAI applications • Deploy, operate, and troubleshoot production ML/GenAI pipelines/services • Build and optimize CI/CD pipelines for ML model deployment and serving • Scale compute resources across CPU/GPU architectures to meet performance requirements • Implement container orchestration with Kubernetes • Architect and optimize cloud resources on GCP for ML training and inference • Setup and maintain runtime frameworks and job management systems (Airflow, KubeFlow, MLflow, etc.) • Establish monitoring, logging and alerting for systems observability • Optimize system performance and resource utilization for cost efficiency • Develop and enforce AIOps best practices across the organization

Job Requirements

  • Bachelor's degree in Computer Science, Information Technology, or a related field (or equivalent experience)
  • 8+ years of overall software engineering experience
  • 3+ years of focused experience in DevOps/AIOps or similar ML infrastructure roles
  • Proficient in IaC, using Terraform
  • Strong experience with containerization and orchestration using Docker and Kubernetes
  • Demonstrated expertise in cloud infrastructure management on GCP
  • Proficiency with workflow management such as Airflow & Kubeflow
  • Strong CI/CD expertise with experience implementing automated testing and deployment pipelines
  • Experience with scaling distributed compute architectures utilizing various accelerators (CPU/GPU)
  • Solid understanding of system performance optimization techniques
  • Experience implementing comprehensive observability solutions for complex systems
  • Knowledge of monitoring and logging tools (Prometheus, Grafana, ELK stack)
  • Strong proficiency in Python
  • Familiarity with ML frameworks such as PyTorch and ML platforms like Vertex AI
  • Excellent problem-solving skills and ability to work independently
  • Strong communication skills and ability to work effectively in cross-functional teams

Benefits

  • Health insurance
  • 401(k) matching
  • Flexible work arrangements
  • Professional development
  • Possible bonuses

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United States + 30 moreAll locations: United States | Norway | Chile | Italy | Canada | Spain | Hungary | India | France | Latvia | Poland | Serbia | Sweden | Albania | Bulgaria | Portugal | Indonesia | Brazil | Mexico | Uruguay | Colombia | Pakistan | Slovakia | Slovenia | Dominica | Montenegro | Netherlands | Argentina | Ireland | South Africa | Dominican Republic
$130K - $140K / year
Job Closed