Þveloper

> Proficient in Python Programming >Understanding of MLOps, Model development lifecycle with knowledge of Training and Deployment pipelines for Machine Learning solutions. > Experience in building real time systems, streaming tech, high performing customer info collection and serving (key for this position) > Experince in code optimization for high performance systems > 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, Bazel and CI/CD deployments with Jenkins > Exposure to IaC (Terraform) > 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. Statistical Modeling