MLOps Engineer
Openkyber
SRE Engineer:
MLOps Arize AI Location: Malvern, PA - 100% Onsite Duration: 6 Months Experience: 6 8 Years Candidates with a combination of strong AWS SRE + MLOps + Arize AI/ML observability experience are strongly preferred.
Job Description:We are seeking an experienced SRE Engineer with strong MLOps and AI observability experience , particularly with Arize AI . The ideal candidate will have hands-on expertise in AWS, Kubernetes, monitoring, incident management, reliability engineering, and ML/LLM platform operations.
Must-Have Skills:- AWS: EC2, EKS, ECS, Lambda, CloudWatch, SNS, SQS, EventBridge
- Arize AI: AI/ML model monitoring, performance monitoring, drift detection, evaluation analytics, and LLM observability
- Strong SRE experience with SLI/SLO definition, error budgets, reliability engineering, resilience, and uptime management
- Kubernetes / EKS
- MLOps / ML platform operations
- Python scripting
- Monitoring and observability using CloudWatch, Grafana, and Prometheus
- Incident management, RCA, problem management, and MTTR reduction
- Terraform and infrastructure automation
- CI/CD pipelines using GitHub Actions or Jenkins.
- 10 years of experience in SRE, DevOps, Cloud Engineering, MLOps, or related roles.
- Strong hands-on AWS cloud experience.
- Experience supporting AI/ML platforms and MLOps environments.
- Experience with Arize AI or comparable AI/ML observability platforms is highly preferred.
- Strong understanding of reliability engineering, monitoring, incident management, automation, and cloud-native technologies.
- Excellent troubleshooting, communication, and problem-solving skills.
For applications and inquiries, contact:View email address on us.fitly.work
Vacancy posted 3 days ago
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