AI/ML Dev LeadAbout the Role
We are seeking an experienced AI - Machine LearningDev 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 Qualifications
- Programming: Strong practical experience with Python
- Google Cloud Platform (GCP): Demonstrated production experience with:
- Vertex AI
- BigQuery
- Cloud Run
- Cloud Storage
- Container Orchestration: Familiarity with GKE (Google Kubernetes Engine) / Kubernetes for deployment workflows
Preferred Qualifications
- End-to-end model deployment experience, including:
- Feature engineering
- Data transformations
- Inference pipelines
- Working knowledge of Vertex AI Pipelines, Kubeflow, or other cloud-native pipeline tools
- Data engineering experience, particularly with Dataform or equivalent tools for preparing and transforming data for ML use cases
Leadership Expectations
- Prior experience leading a small team is strongly preferred
- Direct report management or formal mentorship of engineers
- This is a dev-lead position, not intended for an individual-contributor-only profile
Ideal Candidate Profile
The 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.
