Machine Learning Engineer

Job-ID Reference TypeContract to HireAI/ML Dev LeadAbout the RoleWe are seeking an experienced AI - Machine Learning Dev Lead to join our team, responsible for end-to-end model deployment and providing technical leadership on ML infrastructure and data engineering initiatives. This is a hands-on leadership position combining deep GCP expertise with team mentorship responsibilities.Required QualificationsProgramming: Strong practical experience with PythonGoogle Cloud Platform (GCP): Demonstrated production experience with:
Vertex AIBigQueryCloud RunCloud StorageContainer Orchestration: Familiarity with GKE (Google Kubernetes Engine) / Kubernetes for deployment workflowsPreferred QualificationsEnd-to-end model deployment experience, including:
Feature engineeringData transformationsInference pipelinesWorking knowledge of Vertex AI Pipelines, Kubeflow, or other cloud-native pipeline toolsData engineering experience, particularly with Dataform or equivalent tools for preparing and transforming data for ML use casesLeadership ExpectationsPrior experience leading a small team is strongly preferredDirect report management or formal mentorship of engineersThis is a dev-lead position, not intended for an individual-contributor-only profileIdeal Candidate ProfileThe ideal candidate combines hands-on production deployment experience across the GCP ML stack with data engineering skills and a track record of leading or mentoring other engineers. Candidates with purely IC-level experience or without production model deployment history will not meet the bar for this role.