| Position: AI/ML Site Reliability Engineer at Scottsdale, Arizona, USA |
| Email: [email protected] |
|
http://bit.ly/4ey8w48 https://jobs.nvoids.com/job_details.jsp?id=3387558&uid=d5f6821b7595471f9e71d88ce503ec7b Job Title: AI/ML Site Reliability Engineer Location: Scottsdale, AZ (Hybrid) preferred OR Remote Duration: 1 year (and will be renewed after that) Interview: Video **MUST COMPLETE ROPES ASSESSMENT** Required Qualifications Strong experience with Kubernetes and GCP (GKE) Strong experience in IaC (Terraform), Helm, and GitHub Actions Proficiency in Python, Ansible, Node.js Strong experience with Prometheus and Grafana observability stack Solid understanding of Linux systems and networking fundamentals Experience in incident management, on-call support, and production triage Hands-on experience with automation and CI/CD pipelines Strong understanding of AI/ML concepts and AIOps practices (model lifecycle, monitoring, or AI-driven alerting) Preferred Qualifications Google Cloud Architect Certification Certified Kubernetes Administrator (CKA) Experience in Java/J2EE, Spring Boot Experience supporting or operating ML/AI platforms or pipelines (MLOps) Exposure to AIOps tools, anomaly detection, or predictive analytics systems Experience with large-scale distributed systems and microservices architecture Experience with GPU-based workloads or ML infrastructure on GCP Knowledge of Kubeflow, Vertex AI, or ML pipelines Experience integrating AI-driven automation into monitoring and incident response Thank you, Ashish Kumar | Technical Recruiter Verve IT Consulting Inc O: 917-259-0969 EXT- 119 Keywords: continuous integration continuous deployment artificial intelligence machine learning javascript information technology card Arizona Position: AI/ML Site Reliability Engineer [email protected] http://bit.ly/4ey8w48 https://jobs.nvoids.com/job_details.jsp?id=3387558&uid=d5f6821b7595471f9e71d88ce503ec7b |
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| 02:39 AM 20-May-26 |