Solutions Architect (MLOps Lead)

Machine Learning Ops EngineerEngagement Responsibility:In concert with the Solution Advisor and Client, drives project activities and leads the rest of the team in the approach, design and execution of the project activities and deliverables.Will lead the assessment and analysis of the Client's current state MLOps and application environment, then formulate and implement recommendations with the help of the Apex team and Client support.Experience/ Skills Required:Target YOE: 10 (with 3-5 in the Cloud/ML space)Must have: Experience designing and deploying a Machine Learning Ops environment using Azure, Kubernetes and CI/CD tooling (Artifactory, GitHub, e.g.). Tools and Technology: Azure, Kubernetes (AKS), Terraform, AnsibleExcellent communication skills and ability to collaborate with various technical teams. Can manage requirements spanning security, governance, performance and function to design the best-fit architecture.Required Skills: Experience designing and deploying a Machine Learning Ops environment using Azure, Kubernetes and CI/CD tooling (Artifactory, GitHub, e.g.).