Understanding of MLOps, Model development lifecycle with knowledge of Training and Deployment pipelines for Machine Learning solutions.
Very good understanding about one or more container orchestration frameworks (KubeFlow etc.)
Exposure to Google Cloud Tech (GCS, BQ, Dataflow, Pub/Sub, GKE, VertexAI/KF Pipeline, etc.)
Knowledge of Git and Github. Gitops, CI/CD deployments with Jenkins
Exposure to IaC (Terraform), experience with platform/utility lib dev
Familiar with AI\ML Models and its basics
Experience working as one or more of the following DevOps Engineer, SRE, Platform Engineer, Infrastructure Engineer, Cloud Engineer, and/or Production Engineer.
Skills
Years of experience
rating out of 5
Computer VISION
MLOps
Google Cloud Platform
PyTorch, Tensorflow, Keras
KubeFlow, Airflow, Argo
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