ArtificiaI Intelligence Lead

Key Skills

Aartificial intelligence, Continuous Integration & Continuous Delivery - CI/CD, DevOps, Git, Github, Google Cloud Platform (GCP), Jenkins, Kubeflow, Leadership, Machine learning techniques, MLOps tools, Python Programming, Terraform

Job Description

Role: Sr. MLOps Engineer

Location - Bellevue WA

• 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.

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