The engineer will help build MLOPS pipelines for a Computer Vision based platform
- SW Dev with Python, IaC (Terraform), experience with platform/utility lib dev, cloud tech (GCS, BQ, Dataflow, Pub/Sub, GKE, VertexAI, Pipeline etc.), container orchestration pipelines, MLOPS, DevOps, CI\CD (Jenkins, Gitops), datastore\database dev, AI\ML basics.
- Proficient in Python Programming.
- 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.
To apply for this job email your details to email@example.com