onsite
DevOps/AI Engineer - MITRE
AI Engineer
Design, implement, and automate AI‑enabled infrastructure using Python, Docker, Kubernetes, Terraform, and AWS while integrating machine‑learning pipelines into CI/CD workflows.
About the role
Key Responsibilities
- Develop and maintain scalable, secure cloud infrastructure on AWS using Terraform and IaC best practices.
- Containerize AI/ML workloads with Docker and orchestrate them on Kubernetes clusters.
- Build and optimize CI/CD pipelines that automate model training, testing, and deployment.
- Collaborate with data scientists to integrate machine‑learning models into production services.
- Implement monitoring, logging, and alerting for both infrastructure and AI services to ensure high availability and performance.
Requirements
- Strong proficiency in Python for scripting, automation, and ML workflow development.
- Hands‑on experience with Docker, Kubernetes, and Terraform in production environments.
- Deep understanding of AWS services (EC2, S3, EKS, Lambda) and cloud security principles.
- Familiarity with machine‑learning frameworks (TensorFlow, PyTorch, Scikit‑learn) and model lifecycle management.
- Experience building CI/CD pipelines using tools such as Jenkins, GitLab CI, or GitHub Actions.
Skills
pythondockerkubernetesterraformawsmachine learningcicd