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 environmentsBuild reusable infrastructure-as-code modules for ingestion and model servingAutomate model pipelines, versioning, lineage, and metadata trackingCreate observability, alerts, and self-healing mechanisms for live modelsSupport secure access, encryption, audits, and risk assessmentsRequirements:
Degree in Computer Science, Engineering, Data Science, or related fieldThree-plus software development years, including two MLOps yearsPython and one compiled language such as C++, Go, or RustDocker, Kubernetes, Terraform, Ansible, and CI/CD/CT proficiencyAWS, model serving, tracking, monitoring, and observability experienceBuild MLOps platforms, production pipelines, and secure AI systems as part of MDA Space’s Geointelligence team.
#J-18808-Ljbffr