MLOps DevOps Specialist

MLOps and Kubernetes define this DevOps Specialist opportunity at MDA Space, building reliable infrastructure for machine learning development and production. As a DevOps Specialist, you will bridge machine learning development with production engineering for Geointelligence systems. You will design, build, and maintain tooling that helps AI and ML Analysts and Engineers deploy, monitor, and iterate models. The work spans Python, Docker, Terraform, AWS, and Kubernetes. Key Responsibilities:

Design scalable MLOps platforms for on-premise and AWS environments Build reusable infrastructure-as-code modules for ingestion and model serving Automate model pipelines, versioning, lineage, and metadata tracking Create observability, alerts, and self-healing mechanisms for live models Support secure access, encryption, audits, and risk assessments Requirements:

Degree in Computer Science, Engineering, Data Science, or related field Three-plus software development years, including two MLOps years Python and one compiled language such as C++, Go, or Rust Docker, Kubernetes, Terraform, Ansible, and CI/CD/CT proficiency AWS, model serving, tracking, monitoring, and observability experience Build MLOps platforms, production pipelines, and secure AI systems as part of MDA Space’s Geointelligence team.

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