Senior MLOps Engineer, ISR
Core
Build sustainable infrastructure, workflows, and deployment practices for AI models that turn satellite imagery into intelligence for defense customers.
Role type
Senior hands-on MLOps engineer (via careerplan.io/jobs/89154c8e-6501-4012-b71b-8c6711588ffb-senior-mlops-engineer-isr-at-iceye)
Builds
Production-ready ML models, containerized services, and reproducible environments for cloud and on-premise systems
Domain
Defense intelligence, satellite imagery, synthetic aperture radar (SAR)
Deliverable
production ML models
Required skills
Python, PyTorch, Kubernetes, GPU workload management, Infrastructure as Code (Terraform, Helm), CI/CD for ML, model packaging and offline installation, experiment tracking and lineage management, production monitoring (drift, performance)
Preferred skills
On-prem/edge/air-gapped deployment, model serving optimization (Triton, TorchServe, KServe, ONNX, TensorRT), computer vision/geospatial data, large-scale data processing (Dask, Ray, Spark), ML pipeline tools (MLflow, Kubeflow, Argo Workflows)
Responsibilities
Build training, evaluation, and packaging pipelines; Deploy and serve models on Kubernetes with GPUs; Manage GPU compute scheduling and utilization; Write tooling for the AI team; Monitor models in production for performance and drift