Machine Learning Engineer ML Specialist MLOps
Core
Building and scaling an MLOps platform to handle petabytes of image data for geospatial/AI projects.
Role type
Senior MLOps Engineer (Infrastructure & Platform)
Builds
Scalable MLOps infrastructure and pipelines for image data processing
Domain
Geospatial / AI / Cloud Infrastructure
Deliverable
infrastructure
Required skills
Kubernetes, AWS, Python, Linux, Terraform, CI/CD, Prometheus, Grafana, OpenTelemetry, distributed systems design, observability, resource optimization (CPU/GPU/memory)
Preferred skills
GCP, test-driven development, systems thinking, multi-node environment scaling
Technologies
Kubernetes, AWS, Python, Linux, Terraform, CI/CD, Prometheus, Grafana, OpenTelemetry
Responsibilities
Design and deploy Kubernetes clusters on AWS, auto-scale infrastructure, optimize resources, develop and maintain MLOps pipelines, ensure observability and stability of production ML systems
Seniority
Senior, hands-on IC