onsite
AI Cloud Engineer III - Murphy Oil USA
Devops Engineer
Senior AI Cloud Engineer responsible for designing, deploying, and scaling AI model‑serving infrastructure on AWS, integrating with data science workflows, and ensuring high‑availability, secure, and performant AI services across retail and supply‑chain applications.
About the role
Key Responsibilities
- Design, build, and maintain scalable AI model‑serving pipelines on AWS using Docker and Kubernetes.
- Collaborate with data scientists and application teams to deploy ML models as RESTful APIs, ensuring low latency and high throughput.
- Implement CI/CD workflows for model versioning, automated testing, and continuous delivery.
- Monitor and optimize model performance, resource utilization, and cost across production environments.
- Ensure security, compliance, and best practices for data handling and model governance.
Requirements
- 5+ years of experience in cloud engineering with a focus on AI/ML deployment.
- Proficiency in Python, AWS services (SageMaker, ECS/EKS, Lambda), Docker, and Kubernetes.
- Strong understanding of ML Ops principles, model versioning, and CI/CD pipelines.
- Experience with REST API design, monitoring, and performance tuning.
- Excellent problem‑solving skills and ability to work cross‑functionally in a fast‑paced environment.
Skills
pythonawsdockerkubernetescicd