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MLOps / DevOps Engineer - Eliassen Group
Devops Engineer
Senior MLOps/DevOps Engineer building scalable, automated cloud platforms for machine learning, leveraging AWS, Terraform, Docker, Kubernetes and CI/CD pipelines to deliver reliable ML deployments.
About the role
Key Responsibilities
- Design, implement and maintain cloud infrastructure for ML workloads using AWS services and Terraform.
- Build and optimize CI/CD pipelines that automate model training, testing, and deployment.
- Collaborate with data scientists and platform teams to integrate ML frameworks and tools (e.g., TensorFlow, PyTorch, MLflow).
- Ensure high availability, scalability, and security of ML services through monitoring, logging, and automated remediation.
- Document processes, create developer tooling, and provide training to improve the overall developer experience.
Requirements
- 5+ years of experience in DevOps or MLOps roles, with a strong focus on cloud-native technologies.
- Proficiency in AWS, Terraform, Docker, and Kubernetes.
- Hands‑on experience building CI/CD pipelines for ML workflows.
- Strong scripting skills in Python and Bash.
- Excellent communication and collaboration abilities across cross‑functional teams.
Skills
pythonawsterraformcicddockerkubernetes